BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//BASA - ECPv6.17.3.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:BASA
X-ORIGINAL-URL:https://basatraining.com
X-WR-CALDESC:Events for BASA
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Helsinki
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260911
DTEND;VALUE=DATE:20260916
DTSTAMP:20260204T072519Z
CREATED:20250115T220000Z
LAST-MODIFIED:20260204T072519Z
UID:10061727-1789084800-1789516799@basatraining.com
SUMMARY:Machine Learning and Predictive Models
DESCRIPTION:Machine Learning and Predictive Models\nWhy Attend\nPredictive models have become accessible to all users with the advancement of technology. This course offers a complete overview of supervised Machine Learning algorithms\, and their role in the enhancement of predictions in most industries and by most organizations. \nThis course covers all models utilized under different technologies (SAS\, Statistica and SPSS)\, enabling participants to become expert practitioners by evaluating and selecting appropriate solutions with suitable technical packages for their organizations. \n\nCourse Methodology\nThis course includes interactive discussion and the use of exercises and case studies.  Each Machine Learning algorithm is supported by its own case study with step by step outputs that go in parallel with its multi stage analysis. All algorithms are detailed with sequential screen shot applications on comparative technologies such as SPSS\, SAS\, Statistica and Excel. \n\n\nCourse Objectives\nBy the end of the course\, participants will be able to: \n\nUnderstand the true meaning of Machine Learning\nComprehend the key differences between Data Analysis and Machine Learning\nApply testing and validating samples into Machine Learning models\nSubmit an overview of the best analytic solutions\nImplement fine-tuned estimation with complete predictive models\n\n\n\nTarget Audience\nAny level of professional interested in how Machine Learning can assist their organization\, would benefit from this course.  These include professionals from industries including\, but not limited to\, banking\, insurance\, retail\, government\, manufacturing\, healthcare\, telecom\, and airlines. \n\n\nTarget Competencies\n\nPredictive Analysis\nPredictive Models\nData Analysis\nData Analytic Models\n\nOutline\n\n\nData Analysis and Simple Regression\n\n\n\nIntroduction to Data Analysis Logic\nTesting two groups on their means and proportions\nProfiling two groups in one single chart\nTesting multiple groups on their means and proportions\nProfiling multiple groups in one single chart\nSimple regression\nRegression vs. Correlation\nSensitivity analysis of quantitative variables\n\n\n\nMultiple and Logistic Regressions\n\n\n\nIntroduction to Machine Learning\nThe Gradient Descent logic\nMultiple Regression vs. Simple Regression\nVariability analysis for estimations\nDummy variables\nSimilarities and differences between Logistic and Multiple regressions\nSimplifying complex models\nStepwise regression\n\n\n\nDiscriminant Analysis\n\n\n\nOptimized Profiling\nTwo-Group Discriminant Function\nAttribution of Cases\nModel Evaluation\nClassification Functions\nMahalanobis Squared Distances\nProbability Method\nModel’s Reduction\nGeneralized Discriminant Analysis\n\n\n\n\n\n\n\nDecision Trees\n\n\n\nWhat are Decision Trees?\nBinary Trees\nQuality of a Decision Tree\nRules of pruning\nCART: Classification Tree\nCART: Regression Tree\nCHAID Tree\nRandom Forest Tree\n\n\n\nNearest Neighbor\, Bayesian\, Neural Network and Deep Learning\n\n\n\nConditional probabilities\nPrediction by probabilities\nDistance from neighbors\nK nearest distances from neighbors\nWeights in a Neural Network model\nHidden layers role\nNeural Network pros and cons\nDeep Learning\nIntroduction to Big Data\n\n\n\nEvent Coordinated by BASA Training \nYou can also visit our Online Courses Website Excel Elearning \nYou can also get an affordable ebook on ebooksnest.com \n\n\n\n\n\nRegistration Form\nPlease enable JavaScript in your browser to complete this form.Please enable JavaScript in your browser to complete this form.Applicant Details *FirstLastEmail *EmailConfirm EmailPhone Number *Course Type *--- Select Choice ---CertificationsAccounting and FinanceAdministrationAuditing and GovernanceBankingBusiness Continuity and Crisis ManagementCommunication and Writing SkillsConferenceCustomer ServiceData Analytics and Artificial IntelligenceData Management and Business IntelligenceDigital Innovation and TransformationGovernment and Public SectorHuman Resources and TrainingInsurance and Financial ServicesInterpersonal Skills and Self DevelopmentIT Management and Cyber SecurityLeadership and ManagementManagementPlanning and Strategy ManagementProject ManagementPublic RelationsQuality and ProductivityRisk and ComplianceSafety and EnvironmentSecurity ManagementSelect the correct course category (typically found below in the course details)Course Name *Course VenuePretoria\, South AfricaDurban\, South AfricaCape Town\, South AfricaKigali\, RwandaHarare\, ZimbabweDubaiAdditional InformationOrganization Name *		\n			Number Details from\n			\n		\n		AddressAddress Line 2 *FirstLastAddress Line 3 *FirstLastOrganization Contact DetailsFirstLastNumber of Participants from organization\n\n\n\n	Participants: 1\nUse the slider to chose whether you want to register only 1 or 10 participantsAdditional Participants detailsSubmit
URL:https://basatraining.com/course/machine-learning-and-predictive-models-3-2/2026-09-11/
LOCATION:Pretoria\, 484 Hilda St\, Hatfield\, Pretoria\, Gauteng\, 0083\, South Africa
CATEGORIES:Data Management and Business Intelligence,Data Management and Business Intelligence|Digital Innovation and Transformation
ATTACH;FMTTYPE=image/png:https://basatraining.com/wp-content/uploads/2025/01/Machine-Learning.png
ORGANIZER;CN="BASA":MAILTO:info@basatraining.com
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260915
DTEND;VALUE=DATE:20260920
DTSTAMP:20260203T091455Z
CREATED:20250820T090413Z
LAST-MODIFIED:20260203T091455Z
UID:10060304-1789430400-1789862399@basatraining.com
SUMMARY:Data Governance\, Protection & Compliance Management
DESCRIPTION:Data Governance\, Protection and Compliance Management\nWhy Attend\nData Governance and Compliance is the specification of decision rights and an accountability framework to encourage desirable behavior in the valuation\, creation\, storage\, use\, archiving and deletion of information. It includes the processes\, roles\, standards and metrics that ensure the effective and efficient use of information in enabling an organization to achieve its goals. The General Data Protection Regulation (GDPR) is coming into law across Europe in 2018 and will lead to major changes to Privacy and Data Protection around the world. \nThis course provides participants with in-depth knowledge in Data Governance\, Privacy and Data Protection and practical skills to help manage\, plan\, support\, analyze\, and deliver an ever-growing volume of data and information within their organizations.  The course addresses international best practices\, industry regulations\, legal requirements\, information compliance\, auditing and cyber security standards. \nMore specifically\, the course covers best practices and international standards including ISACA\, ISO 8000 – International Data Management Standards\, Data Analysis\, Data Analytics\, Big Data\, Database\, Data Warehouse\, Reporting\, Information Compliance\, Data Security based on ISO27001 – Information Security\, Master Data Management (MDM)\, Metadata Management & Records Management Compliance.  The course also reviews Privacy and General Data Protection Regulation (GDPR) and references cases of major data breaches such as Facebook and Cambridge Analytica. \nAs part of the course\, participants conduct group and individual exercises and learn from industry best practice case studies. The best practice can be applied to improve data management within their own organizations. \n\nCourse Methodology\nThe material used in the training course will be based on exercises as well as regional and international case studies. Participants will frequently work in pairs with one another as well as in larger teams. \nCourse Objectives\n\n\nBy the end of the course\, participants will be able to: \n\nUnderstand how data and information can be managed more efficiently and effectively within organizations to tackle Privacy\, Data Protection and Cyber Security threats and risks\nRecognize Data Governance controls\, policies and strategies to capture\, manage and securely dispose of business data and records\nDevelop action plans to manage information compliance\, audits\, legislation and regulations through review of information and information management controls\nSet up and implement a Data Governance project\, including addressing roles and responsibilities\, risk management and improving business processes\nManage data to international best practices ISACA\, ISO 8000 – International Data Management Standards\, Privacy and Global Cyber Security\n\nTarget Audience\n\n\nThis course is suitable for IT professionals\, document controllers\, auditors\, site administrators\, general management and anyone tasked with managing and protecting data and information. This also includes professionals already familiar and involved with data management and seeking to build on their fundamental principles of managing data\, information and records. \nTarget Competencies\n\n\n\nData Governance\nInformation Security Management\nData Compliance\nManaging Data\nData Management Policies and Procedures\n\nOutline\n\n\nInternational Data Management Standards\n\n\n\nIntroduction to Data Governance and Management\nManaging Structured and Unstructured Data\nData Lifecycle Management (DLM)\nMaster Data Management (MDM)\nISO 8000 – Information and Data Quality\nData Management Skills and Responsibilities\n\n\n\nCompliance\, Regulations\, Data Security and ISO 27001\n\n\n\nData Governance Management Standards and Compliance\nISACA Auditing Standards\nGeneral Data Protection Regulation (GDPR) and Privacy\nDocument and Records Management Compliance\nISO27001 Information Security and Cyber Security\n\n\n\nAnalysis\, Analytics\, Mining and Reporting\n\n\n\nData Analysis\, Analytics and Modelling\nBusiness Intelligence (BI) Reporting\nData Mining\nManagement Reporting\nBusiness Process Modelling\nData Flow Diagrams (DFDs)\n\n\n\n\n\n\n\nData Governance IT Solutions\n\n\n\nEnterprise Content Management Systems\nDocument and Records Management\nData Dictionary\, Data Analysis and Data Mining\nRelational Databases and Indexing\nArchiving and Preservation\n\n\n\nDeveloping Policy\, Procedures and Action Plans\n\n\n\nData Governance Management Polices\nDevelop Data Lifecycle Management Procedures\nCreate Data Governance Management Action Plan\n\n\n\nEvent Coordinated by BASA Training \nYou can also visit our Online Courses Website Excel Elearning \nYou can also get an affordable ebook on ebooksnest.com \n\n\n\n\n\nRegistration Form\nPlease enable JavaScript in your browser to complete this form.Please enable JavaScript in your browser to complete this form.Applicant Details *FirstLastEmail *EmailConfirm EmailPhone Number *Course Type *--- Select Choice ---CertificationsAccounting and FinanceAdministrationAuditing and GovernanceBankingBusiness Continuity and Crisis ManagementCommunication and Writing SkillsConferenceCustomer ServiceData Analytics and Artificial IntelligenceData Management and Business IntelligenceDigital Innovation and TransformationGovernment and Public SectorHuman Resources and TrainingInsurance and Financial ServicesInterpersonal Skills and Self DevelopmentIT Management and Cyber SecurityLeadership and ManagementManagementPlanning and Strategy ManagementProject ManagementPublic RelationsQuality and ProductivityRisk and ComplianceSafety and EnvironmentSecurity ManagementSelect the correct course category (typically found below in the course details)Course Name *Course VenuePretoria\, South AfricaDurban\, South AfricaCape Town\, South AfricaKigali\, RwandaHarare\, ZimbabweDubaiAdditional InformationOrganization Name *Address		\n			2 Participants Course\n			\n		\n		Address Line 2 *FirstLastAddress Line 3 *FirstLastOrganization Contact DetailsFirstLastNumber of Participants from organization\n\n\n\n	Participants: 1\nUse the slider to chose whether you want to register only 1 or 10 participantsAdditional Participants detailsSubmit
URL:https://basatraining.com/course/data-governance-protection-compliance-management-3/2026-09-15/
LOCATION:Pretoria\, 484 Hilda St\, Hatfield\, Pretoria\, Gauteng\, 0083\, South Africa
CATEGORIES:Data Management and Business Intelligence
ATTACH;FMTTYPE=image/jpeg:https://basatraining.com/wp-content/uploads/2025/07/markus-spiske-hvSr_CVecVI-unsplash.jpg
ORGANIZER;CN="BASA":MAILTO:info@basatraining.com
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260918
DTEND;VALUE=DATE:20260923
DTSTAMP:20260203T085545Z
CREATED:20241001T220000Z
LAST-MODIFIED:20260203T085545Z
UID:10057893-1789689600-1790121599@basatraining.com
SUMMARY:Artificial Intelligence for Business Professionals
DESCRIPTION:Artificial Intelligence for Business Professionals\nWhy Attend\nUpdated with the latest insights on ChatGPT and Dall-E 2. Understand how these models work and how they can benefit you and your organisation! \nSociety and organizations are creating petabytes of data\, and with Artificial Intelligence (AI) we can put that data to work in order to improve well-being\, increase revenue and reduce costs. With modern technology\, we can use internal and external\, structured and unstructured data and apply Artificial Intelligence to bring new possibilities to make predictions\, improve decision making\, improve company performance and augment human capabilities. \nHowever\, this new field of science comes with new terminologies and technologies. But it is not just about data and technology. To really create business value with AI\, you need to scale up from isolated Proof of Concepts to a coherent approach and prepare the organization for effective use of AI. That needs a vision to define the best opportunities for AI to support the business\, it needs a framework to understand which capabilities in the organization have to improve\, and an implementation strategy to know what to do where and when. \nThis course provides participants with the AI literacy to be the business AI leader in their organizations\, to understand AI concepts and use cases\, to converse on a qualified level with data specialists\, to create an AI strategy and develop an AI-ready organization\, to know how to set up and run an AI project\, and to assess the make-or-buy decision of tooling. \n\nCourse Methodology\nThis course applies a variety of interactions\, ranging from teamwork on case studies\, to individual work on applying templates to their own experience\, to group discussions about joint challenges. \n\n\nCourse Objectives\nBy the end of the course\, participants will be able to: \n\nExplain AI as a concept and all its applications\nApply the different AI applications in the business value chain\nDemonstrate the technologies and algorithms behind AI\nApply best practices in an AI project with its activities\nAssess the available and necessary skills and competencies\nDiscuss on a qualified level with business and data specialists on relevant topics\nCreate and execute an AI strategy and develop an AI-ready organization\n\n\n\nTarget Audience\nThis course is designed for senior\, middle\, and high-potential management who recognize that digital transformation and AI is unavoidable; and for those who understand that continuous improvement\, innovation\, and disruption are part of doing business and want to be prepared and reap the benefits of Artificial Intelligence. \nIn short\, this course is for managers wanting to identify what AI can do for them and to drive Digital Transformation\, rather than understand the technical methodologies of what happens underneath its hood. \nUnderstanding basic technology concepts such as data and cloud is helpful but not required. \n\n\nTarget Competencies – AI\n\nBest Practice Application\nChange Management\nBusiness Translator\nAI Project Management\n\n\nOutline\n\n\nIntroduction to Artificial Intelligence (AI)\, Machine Learning (ML)\, and Data Science\n\nAI in historical setting and combinatorial technologies\nIntroduction to AI\, concepts\, narrow and general AI\nDifferent types of AI\nAI – sense\, reason\, act\nThe thinking in AI: Machine learning\n\nAdvanced Analytics vs Artificial Intelligence\n\nLooking back\, now\, forward\n4 types of data analytics\nAnalytics value chain\n\nAlgorithms but without technical jargon\n\nSupervised learning\nUnsupervised learning\nReinforcement learning\n\nData as fuel for AI\n\nStructured and unstructured data\nThe 5 V’s of data\nData governance\n\nThe data engineering platform\n\nJust enough to understand the data architecture\nBig data reference architecture\n3 categories of data usage\n\n\n\n\n\nAI opportunity matrix\n\n\nSuccessful use cases by Porter’s value chain\n\nPrimary activities\nSupporting activities\n\nSuccessful use cases by technology\n\nNLP\nImage recognition\nMachine learning\n\nIdeation of AI projects\n\nAI Funnel process\nSeveral idea generation approaches\nPrioritize projects\nAI project canvas\n\nRunning of AI projects\n\nMachine learning life cycle\nAI machine learning canvas\nWhen to make and when to buy AI solutions\n\nHow to transform to an AI-ready organization\n\nUse the AI strategy cycle\nDimensions of the AI framework\nPractical approach to assess the AI maturity of the organization\nBest organizational structures\nBenefits of an AI Center of Excellence\nSkills and competencies\n\nAI and ethics\n\nRisks of AI\nEthical guidelines\nRealizing trustworthy AI\n\n\n\n\n\nEvent Coordinated by BASA Training \nYou can also visit our Online Courses Website Excel Elearning \nYou can also get an affordable ebook on ebooksnest.com \n\n\n\nRegistration Form\nPlease enable JavaScript in your browser to complete this form.Please enable JavaScript in your browser to complete this form.Applicant Details *FirstLastEmail *EmailConfirm EmailPhone Number *		\n			Additional Line Address\n			\n		\n		Course Type *--- Select Choice ---CertificationsAccounting and FinanceAdministrationAuditing and GovernanceBankingBusiness Continuity and Crisis ManagementCommunication and Writing SkillsConferenceCustomer ServiceData Analytics and Artificial IntelligenceData Management and Business IntelligenceDigital Innovation and TransformationGovernment and Public SectorHuman Resources and TrainingInsurance and Financial ServicesInterpersonal Skills and Self DevelopmentIT Management and Cyber SecurityLeadership and ManagementManagementPlanning and Strategy ManagementProject ManagementPublic RelationsQuality and ProductivityRisk and ComplianceSafety and EnvironmentSecurity ManagementSelect the correct course category (typically found below in the course details)Course Name *Course VenuePretoria\, South AfricaDurban\, South AfricaCape Town\, South AfricaKigali\, RwandaHarare\, ZimbabweDubaiAdditional InformationOrganization Name *AddressAddress Line 2 *FirstLastAddress Line 3 *FirstLastOrganization Contact DetailsFirstLastNumber of Participants from organization\n\n\n\n	Participants: 1\nUse the slider to chose whether you want to register only 1 or 10 participantsAdditional Participants detailsSubmit
URL:https://basatraining.com/course/artificial-intelligence-for-business-professionals-2-2/2026-09-18/
LOCATION:Pretoria\, 484 Hilda St\, Hatfield\, Pretoria\, Gauteng\, 0083\, South Africa
CATEGORIES:Data Analytics and Artificial Intelligence,Data Management and Business Intelligence,Digital Innovation and Transformation
ATTACH;FMTTYPE=image/jpeg:https://basatraining.com/wp-content/uploads/2024/10/adi-goldstein-EUsVwEOsblE-unsplash.jpg
ORGANIZER;CN="BASA":MAILTO:info@basatraining.com
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260920
DTEND;VALUE=DATE:20260925
DTSTAMP:20260202T095602Z
CREATED:20241001T220000Z
LAST-MODIFIED:20260202T095602Z
UID:10045302-1789862400-1790294399@basatraining.com
SUMMARY:Electronic Records Management Course
DESCRIPTION:Electronic Records Management Course\nWhy Attend\nDigitization is a major challenge for all organizations. As digital content continues to grow at a fast rate\, policies\, processes and electronic  systems are required to manage demand to help drive business operations and become more effective. This process is also known as digital transformation\, and professionals and organizations are increasingly required to adopt global standards and international best practices to improve how digital content is captured\, managed and controlled. \nDigitization and File Management is the specification of establishing digital controls and accountability frameworks to encourage desirable behavior in the valuation\, creation\, storage\, use\, archiving and deletion of digital information. The processes involved include scanning\, workflow\, Optical Character Recognition (OCR); processes\, roles\, standards and metrics must be implemented that ensure the effective and efficient use of information in enabling an organization to achieve its goals. \nThis course provides participants with in-depth knowledge in Digitization as well as with practical skills to help manage\, plan\, analyze\, deliver and support an ever-growing volume of data and information within their organizations.  The course covers international best practices\, industry regulations\, legal requirements\, information compliance\, auditing and security standards\, including National Archives Digitization and Guidelines\, Scanning\, Archiving and Digital Preservation and ISO 13008 Digital Records Conversion and Migration. \nAs part of the course\, participants carry out group and individual exercises and learn from industry best practice case studies. The best practice can be applied to improve data management within their own organizations. \n\nCourse Methodology\nThe material used in the training course will be based on exercises as well as regional and international case studies. Participants will frequently work in pairs with one another as well as in larger teams. \n\n\nCourse Objectives\nBy the end of the course\, participants will be able to: \n\nUnderstand how data and information can be digitized and managed more efficiently and effectively within organizations\nDevelop action plans for scanning\, workflow and integration of digital information to support compliance\, audits\, legislation and regulations\nEstablish and implement a Data Digitization project\, including systems\, roles and responsibilities\nManage data against international best practices\, including ISO 13008 Digital Records Conversion and Migration\nDevelop digitization policies and working procedures\nFormulate and manage data in accordance to ISO 27001 Information Security standards\n\n\n\nTarget Audience\nThis course is suitable for IT professionals\, document controllers\, auditors\, site administrators\, general management and anyone tasked with managing and protecting data and information. This also includes professionals already familiar and involved with data management and seeking to build on their fundamental principles of managing data\, information and records. \n\n\nTarget Competencies\n\nRecords Management\nData Compliance\nDeveloping Policies and Procedures\nArchiving\nDatabase Systems\n\nOutline\n\n\nIntroduction to Digitization and Standards\n\n\n\nIntroduction to digitization and file management\nManaging structured and unstructured data\nScanning and capture\nWorkflow\nMetadata\, indexing and classification\nEnterprise search and archiving\n\n\n\nCompliance\, Regulations and Digitization ISO 13008\n\n\n\nISO 13008 digital records conversion and migration\nArchiving and preservation\nData protection and data privacy\nDocument and records management compliance\nISO 27001 information security and cyber security\n\n\n\nImplementation and Project Management\n\n\n\nDeveloping target operating model\nRoles\, responsibilities and reporting\nProgramme planning\nQuality management planning\nRisk and issue management\n\n\n\n\n\n\n\nData Digitization IT Solutions\n\n\n\nScanning and Optical Character Recognition (OCR)\nIndexing and Metadata\nWorkflow and business process automation\nEnterprise content management systems\nDocument and records management\nArchiving and preservation\n\n\n\nDeveloping Policy\, Procedures and Action Plans\n\n\n\nDigitization management polices\nDevelop data lifecycle management procedures and guidelines\nCreate programme and project implementation action plan\nCase studies\n\n\n\nEvent Coordinated by BASA Training \nYou can also visit our Online Courses Website Excel Elearning \nYou can also get an affordable ebook on ebooksnest.com \n\n\n\n\n\nRegistration Form\nPlease enable JavaScript in your browser to complete this form.Please enable JavaScript in your browser to complete this form.Applicant Details *FirstLastEmail *EmailConfirm EmailPhone Number *Course Type *--- Select Choice ---CertificationsAccounting and FinanceAdministrationAuditing and GovernanceBankingBusiness Continuity and Crisis ManagementCommunication and Writing SkillsConferenceCustomer ServiceData Analytics and Artificial IntelligenceData Management and Business IntelligenceDigital Innovation and TransformationGovernment and Public SectorHuman Resources and TrainingInsurance and Financial ServicesInterpersonal Skills and Self DevelopmentIT Management and Cyber SecurityLeadership and ManagementManagementPlanning and Strategy ManagementProject ManagementPublic RelationsQuality and ProductivityRisk and ComplianceSafety and EnvironmentSecurity ManagementSelect the correct course category (typically found below in the course details)Course Name *Course VenuePretoria\, South AfricaDurban\, South AfricaCape Town\, South AfricaKigali\, RwandaHarare\, ZimbabweDubaiAdditional InformationOrganization Name *AddressAddress Line 2 *FirstLastAddress Line 3 *FirstLastOrganization Contact DetailsFirstLast		\n			from Applicant Address\n			\n		\n		Number of Participants from organization\n\n\n\n	Participants: 1\nUse the slider to chose whether you want to register only 1 or 10 participantsAdditional Participants detailsSubmit
URL:https://basatraining.com/course/electronic-records-management-course/2026-09-20/
LOCATION:Pretoria\, 484 Hilda St\, Hatfield\, Pretoria\, Gauteng\, 0083\, South Africa
CATEGORIES:Data Management and Business Intelligence
ATTACH;FMTTYPE=image/jpeg:https://basatraining.com/wp-content/uploads/2024/10/conny-schneider-pREq0ns_p_E-unsplash.jpg
ORGANIZER;CN="BASA":MAILTO:info@basatraining.com
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260920
DTEND;VALUE=DATE:20260925
DTSTAMP:20260202T091116Z
CREATED:20250819T091221Z
LAST-MODIFIED:20260202T091116Z
UID:10043337-1789862400-1790294399@basatraining.com
SUMMARY:Business Intelligence: Data Analysis & Reporting
DESCRIPTION:Business Intelligence: Data Analysis and Reporting Techniques\nWhy Attend\nIn this day and age\, it is no surprise for corporate staff to be overwhelmed by the abundance of unstructured data. ERPs and databases have evolved to a point where they can house amazingly large amounts of data. The question now is\, what do you do with this data to add value? This program will introduce Business Intelligence (BI)\, hands-on\, to allow you to clean\, normalize\, and interpret large volumes of data. \nYou will be able to establish historical relationships\, analyze the current situation and predict future strategies. The application of BI is borderless\, covering operational\, tactical and strategic business decisions. It spans all departments and cascades down to all users who perform data cleansing\, reporting\, analysis\, modeling\, integration and automation. \nIn this course we use MS Excel exclusively as an ultimate and readily available BI tool allowing you to develop an exclusive level of expertise and add immediate value to your job and company. \n\nCourse Methodology\n20% of the course is design and structure focused while 80% uses MS Excel as a BI tool. Groups and individuals will be required to complete exercises\, case studies\, and projects on a daily basis. \nCourse Objectives\n\n\nBy the end of the course\, participants will be able to: \n\nBoost Excel Business Intelligence (BI) expertise in data slicing and dicing\, data massaging\, and data aggregation and modeling\nPerform data normalization\, consolidation\, report writing\, analysis and reconciliation\nDevelop dynamic BI models\, dashboards\, scorecards and flash management reports by linking-up Excel with Access\, Web\, Text\, Internet\, SQL\, ERPs and other databases\nAdvance and enhance the look and feel of reports using dynamic visualization techniques\nAcquire numerous tips and tricks that enable them to work efficiently\n\nTarget Audience\n\n\nBusiness professionals\, business analysts\, data analysts\, research analysts\, finance professionals\, marketing and sales professionals\, HR professionals\, IT professionals\, administrative staff\, supervisors\, general business professionals and staff from any function who need to learn and apply state-of-the-art data analysis techniques to their daily business reporting and decision making. \nTarget Competencies\n\n\n\nMassaging and normalizing data\nReporting\, analysis and reconciliation\nInterpretation of large data sets\nModeling and ‘what-if’ scenarios\nEstablishing data integration\nDeveloping dynamic dashboards and scorecards\nDesigning key performance indicators\n\n\nOutline\n\n\nData analysis tools and techniques\n\n\n\nConsolidating data from separate files and sheets\nAdvanced data validation using lists\, dates and custom validation\nPowerful array functions\nCell management tools: left\, right\, mid\, concatenate\, value\nNaming\, editing\, and managing cells and ranges\nSubtotal\, sumif\, sumifs\, sumproduct\, count\, countif\, countifs\nLooking-up data\, texts\, and values using vlookup\nThe incredible table-tools technique\nSlicing dates into day names\, weeks\, week numbers\, month names\, years and quarters\nText-to-columns and dynamic trimming using trim and len\nManaging texts and numbers using replace\, find\, and substitute\nText change functions\n\n\n\nMastering data reporting: the 20 must learn pivot-tables tools\n\n\n\nCreating pivot tables\nNumber formatting techniques\nDesigning report layout\nSorting in ascending\, descending and more sort options\nFiltering labels and values\nExpanding and collapsing reports\nDrill down option\nSummarize values by sum\, average\, minimum\, maximum\, count\nShow values as % of total and % of\nPivot table options\nInserting formulas\nDate analysis\nCopying pivot tables\nCreating pivot charts\nDynamic chart labeling\nMastering the slicer\nShowing report filter pages\nLinking pivot tables and pivot graphs with PowerPoint\nConditional formatting with pivot tables\nDesigning reports using the getpivotdata\n\n\n\n\n\n\n\nData modeling and integration\n\n\n\nSpinner\nCheck box data modeling with if function\nOption button data modeling with if function\nList box data modeling with choose function\nScenario manager\nLinking Excel with text files\, databases (Access)\, SQL\, internet and with Excel\n\n\n\nThe look and feel charting and visualization techniques\n\n\n\nUsing the camera tool\nWorking with formula-driven visualizations\nUsing fancy fonts\nLeveraging symbols in formulas\nWorking with sparklines\nCreating unconventional style charts\n\n\n\nTips and tricks\n\n\n\nControlling and protecting your reports\, worksheets and workbooks\nData entry form\nCustom list\nText-to-speech\nAdvanced conditional formatting\nShortcuts for your daily work\n\n\n\nEvent Coordinated by BASA Training \nYou can also visit our Online Courses Website Excel Elearning \nYou can also get an affordable ebook on ebooksnest.com \n\n\n\n\n\nRegistration Form\nPlease enable JavaScript in your browser to complete this form.Please enable JavaScript in your browser to complete this form.Applicant Details *FirstLastEmail *EmailConfirm EmailPhone Number *Course Type *--- Select Choice ---CertificationsAccounting and FinanceAdministrationAuditing and GovernanceBankingBusiness Continuity and Crisis ManagementCommunication and Writing SkillsConferenceCustomer ServiceData Analytics and Artificial IntelligenceData Management and Business IntelligenceDigital Innovation and TransformationGovernment and Public SectorHuman Resources and TrainingInsurance and Financial ServicesInterpersonal Skills and Self DevelopmentIT Management and Cyber SecurityLeadership and ManagementManagementPlanning and Strategy ManagementProject ManagementPublic RelationsQuality and ProductivityRisk and ComplianceSafety and EnvironmentSecurity ManagementSelect the correct course category (typically found below in the course details)Course Name *Course VenuePretoria\, South AfricaDurban\, South AfricaCape Town\, South AfricaKigali\, RwandaHarare\, ZimbabweDubaiAdditional InformationOrganization Name *AddressAddress Line 2 *FirstLastAddress Line 3 *FirstLastOrganization Contact DetailsFirstLastNumber of Participants from organization\n\n\n\n	Participants: 1\nUse the slider to chose whether you want to register only 1 or 10 participants		\n			Details Name Details\n			\n		\n		Additional Participants detailsSubmit
URL:https://basatraining.com/course/business-intelligence-data-analysis-reporting-2/2026-09-20/
LOCATION:Pretoria\, 484 Hilda St\, Hatfield\, Pretoria\, Gauteng\, 0083\, South Africa
CATEGORIES:Data Management and Business Intelligence
ATTACH;FMTTYPE=image/jpeg:https://basatraining.com/wp-content/uploads/2025/08/wwd-WN997h.jpg
ORGANIZER;CN="BASA":MAILTO:info@basatraining.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20260920T080000
DTEND;TZID=Europe/Helsinki:20260924T170000
DTSTAMP:20260202T090809Z
CREATED:20250114T220000Z
LAST-MODIFIED:20260202T090809Z
UID:10043117-1789891200-1790269200@basatraining.com
SUMMARY:DATA ANALYTICS AND ARTIFICIAL  INTELLIGENCE
DESCRIPTION:DATA ANALYTICS AND ARTIFICIAL INTELLIGENCE\nOVERVIEW\nThe richest data store is only as good as your ability to search\, sort\, analyze\, and present the data within it. This introductory-level course will give participants a broad overview of the theory and practice of data analytics and the many ways in which artificial intelligence (AI) contributes to it. \nIt will begin with a brief history of data analytics and then proceed into discussions of data warehouses\, data mining\, business intelligence\, machine learning\, and other emerging AI techniques to make sense of big data. \nParticipants will learn how data is captured\, cleansed\, analyzed\, and presented on business intelligence dashboards that captivate and persuade an audience. \n“It is a capital mistake to theorize before one has data\,” Sherlock Holmes once said. Whether you are investigating analytics as a potential career move or wish to better understand the terminology you encounter with increasing frequency in your professional circles\, this course will give you the foundation you are looking for. \nWHAT YOU WILL LEARN:\n\nA brief overview of the history of analyzing data\, from medieval statistics to the sophisticated techniques developed by the likes of Google and Microsoft.\nA look at data stores\, which are growing exponentially\, and the challenges of wrangling “big data.”\nUnderstanding of data mining—what it entails\, different approaches\, and who’s leading the way.\nA two-part discussion of business intelligence\, including the principles of sound dashboard design and data presentation.\nThe key differences between the four types of analytics— diagnostic\, descriptive\, predictive\, and prescriptive\nAn overview of specific analytics processes and models.\nA first look at AI\, its evolution\, its functions\, and what it can do for businesses today.\nAn exploration of machine learning—how systems can learn from data\, identify patterns\, and make decisions with little human intervention.\nA survey of deep learning technologies\, including a variety of neural networks.\nAn overview of the most important machine learning data modeling techniques\nA practical and honest appraisal of the analytics and AI landscape today and moving forward\, including the tremendous promise and the potential pitfalls.\nResources for continued study on these topics.\n\nWHO SHOULD ATTEND?\n\nPeople who want to start their careers in data analytics\nThose who want to learn the basic concepts of data analytics and AI\nIndividuals who want to kickstart their data science skills\n\nOutline\n\n\nFoundations of Data Analytics\n\n\n\nThe evolution of data analytics: from early statistics to modern data science\nKey concepts: data\, information\, insight\, knowledge\nThe role of analytics in digital transformation\nOverview of data types (structured\, semi-structured\, unstructured)\nThe anatomy of a data-driven organization\n\n\n\nData Management\, Cleaning & Preparation\n\n\n\nThe data lifecycle: collection\, storage\, and management\nData warehouses vs. data lakes\nChallenges of big data (volume\, velocity\, variety\, veracity\, value)\nData wrangling and cleaning techniques\nTools overview: Excel\, Power Query\, Python basics\n\n\n\nDay 3: Business Intelligence & Data Visualization\n\n\n\nWhat is Business Intelligence (BI)?\nTransforming data into insights\nDashboard design principles and storytelling with data\nOverview of BI tools: Power BI\, Tableau\, Google Data Studio\nKey performance indicators (KPIs) and performance dashboards\n\n\n\n\n\n\n\nDay 4: Introduction to Artificial Intelligence & Machine Learning\n\n\n\nWhat is Artificial Intelligence (AI)? Definitions and real-world applications\nKey differences between AI\, Machine Learning (ML)\, and Deep Learning\nHow machines learn from data: supervised\, unsupervised\, and reinforcement learning\nExamples of AI in action: chatbots\, recommendation systems\, predictive analytics\nOverview of popular ML algorithms (decision trees\, regression\, clustering)\n\n\n\nDay 5: The Future of Analytics & AI Integration\n\n\n\nThe four types of analytics: descriptive\, diagnostic\, predictive\, prescriptive\nEmerging AI technologies: natural language processing\, computer vision\, and generative AI\nBuilding a data-driven culture in organizations\nOpportunities\, risks\, and ethical implications of AI\nContinuing learning pathways and certifications in data analytics & AI\n\n\n\n\n\nEvent Coordinated by BASA Training \nYou can also visit our Online Courses Website Excel Elearning \nYou can also get an affordable ebook on ebooksnest.com \n\n\n\n\nRegistration Form\nPlease enable JavaScript in your browser to complete this form.Please enable JavaScript in your browser to complete this form.Applicant Details *FirstLastEmail *EmailConfirm EmailPhone Number *Course Type *--- Select Choice ---CertificationsAccounting and FinanceAdministrationAuditing and GovernanceBankingBusiness Continuity and Crisis ManagementCommunication and Writing SkillsConferenceCustomer ServiceData Analytics and Artificial IntelligenceData Management and Business IntelligenceDigital Innovation and TransformationGovernment and Public SectorHuman Resources and TrainingInsurance and Financial ServicesInterpersonal Skills and Self DevelopmentIT Management and Cyber SecurityLeadership and ManagementManagementPlanning and Strategy ManagementProject ManagementPublic RelationsQuality and ProductivityRisk and ComplianceSafety and EnvironmentSecurity ManagementSelect the correct course category (typically found below in the course details)Course Name *Course VenuePretoria\, South AfricaDurban\, South AfricaCape Town\, South AfricaKigali\, RwandaHarare\, ZimbabweDubaiAdditional Information		\n			Type Additional Venue\n			\n		\n		Organization Name *AddressAddress Line 2 *FirstLastAddress Line 3 *FirstLastOrganization Contact DetailsFirstLastNumber of Participants from organization\n\n\n\n	Participants: 1\nUse the slider to chose whether you want to register only 1 or 10 participantsAdditional Participants detailsSubmit
URL:https://basatraining.com/course/data-analytics-and-artificial-intelligence-2-2/2026-09-20/
LOCATION:Pretoria\, 484 Hilda St\, Hatfield\, Pretoria\, Gauteng\, 0083\, South Africa
CATEGORIES:Data Management and Business Intelligence,IT Management and Cyber Security
ATTACH;FMTTYPE=image/jpeg:https://basatraining.com/wp-content/uploads/2025/01/dfghhh-2kFwYO-1.jpg
ORGANIZER;CN="BASA":MAILTO:info@basatraining.com
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260925
DTEND;VALUE=DATE:20260930
DTSTAMP:20251014T135026Z
CREATED:20250114T220000Z
LAST-MODIFIED:20251014T135026Z
UID:10055605-1790294400-1790726399@basatraining.com
SUMMARY:DIGITAL FINANCIAL SERVICES (DFS) - 5 days Course
DESCRIPTION:DIGITAL FINANCIAL SERVICES\nOVERVIEW\nDigital finance offers a transformational solution for financial inclusion. Powered by the mobile phone\, new data and technological innovations\, it has become affordable and convenient for unbanked customers to access and use formal banking services. \nWhile new technological developments and financial players bring tremendous opportunities\, the emerging landscape is also becoming more complex and is putting increasing pressure on traditional providers to go digital. \nIn this course you will learn about the emerging digital landscape as well as the new market participants and products that have disrupted the market. By taking the course\, you will be enabled to successfully deploy digital technologies in your institution and leverage digital financial services (DFS) in your target markets \nWHO SHOULD ATTEND?\nMicrofinance practitioners\, MFI managers\, consultants\, donors\, MNO’s\, Retail and SME banks\, FinTech’s\, Regulators and supervisors. \nCOURSE OBJECTIVES\nUpon successful completion of this course\, participants will have profound knowledge and practical skills around the following topics: \n\nUnderstanding the history of financial services to reflect on today´s landscape to better understand future scenarios for financial services\nKey technologies driving digital finance and financial inclusion\nProfound knowledge on the digital finance ecosystem and it´s key stakeholders\nKey product and innovation areas in digital finance\n\n\nSuccess factors and business models in digital finance\n\n\nImportance and latest models of regulation and supervision\nPrinciples and key trends in risk management around digital financial services\nStrategic Management of services and business models\n\n\nRapid design and launch of new customer centric products and\n\nOutline\n\n\nDay 1: Understanding Digital Financial Services\n\nIntroduction to Digital Finance\nEvolution of Financial Technology (FinTech)\nKey Technologies Shaping the Future\nRegulatory and Compliance Landscape\n\nDay 2: Digital Payments and Cryptocurrencies\n\nDigital Payment Systems\nBlockchain Technology\nCryptocurrency Markets and Trends\nRisks and Security in Digital Transactions\n\nDay 3: FinTech Innovations and Applications\n\nMobile Banking and Microfinance\nPeer-to-Peer Lending\nRobo-Advisors and AI in Finance\nCase Studies on Successful FinTech Startups\n\n\n\n\n\nDay 4: Data Analytics and Artificial Intelligence\n\nImportance of Data in Financial Services\nPredictive Analytics for Decision Making\nMachine Learning Applications in Finance\nEthical and Privacy Considerations\n\nDay 5: Strategic Implementation and Future Trends\n\nBuilding a Digital Strategy for Financial Services\nTrends Shaping the Future of Finance\nEmerging Technologies Beyond 2023\n\nGroup Project Presentations and Feedback \nEvent Coordinated by BASA Training \nYou can also visit our Online Courses Website Excel Elearning \nYou can also get an affordable ebook on ebooksnest.com \n\n\n\n\n\nRegistration Form\nPlease enable JavaScript in your browser to complete this form.Please enable JavaScript in your browser to complete this form.Applicant Details *FirstLastEmail *EmailConfirm EmailPhone Number *Course Type *--- Select Choice ---CertificationsAccounting and FinanceAdministrationAuditing and GovernanceBankingBusiness Continuity and Crisis ManagementCommunication and Writing SkillsConferenceCustomer ServiceData Analytics and Artificial IntelligenceData Management and Business IntelligenceDigital Innovation and TransformationGovernment and Public SectorHuman Resources and TrainingInsurance and Financial ServicesInterpersonal Skills and Self DevelopmentIT Management and Cyber SecurityLeadership and ManagementManagementPlanning and Strategy ManagementProject ManagementPublic RelationsQuality and ProductivityRisk and ComplianceSafety and EnvironmentSecurity ManagementSelect the correct course category (typically found below in the course details)Course Name *		\n			Phone Address organization\n			\n		\n		Course VenuePretoria\, South AfricaDurban\, South AfricaCape Town\, South AfricaKigali\, RwandaHarare\, ZimbabweDubaiAdditional InformationOrganization Name *AddressAddress Line 2 *FirstLastAddress Line 3 *FirstLastOrganization Contact DetailsFirstLastNumber of Participants from organization\n\n\n\n	Participants: 1\nUse the slider to chose whether you want to register only 1 or 10 participantsAdditional Participants detailsSubmit
URL:https://basatraining.com/course/digital-financial-services-dfs-5-days-course-2-2/2026-09-25/
LOCATION:Pretoria\, 484 Hilda St\, Hatfield\, Pretoria\, Gauteng\, 0083\, South Africa
CATEGORIES:Data Analytics and Artificial Intelligence,Data Management and Business Intelligence
ATTACH;FMTTYPE=image/jpeg:https://basatraining.com/wp-content/uploads/2025/01/dwd2w2222-X0EFQb.jpg
ORGANIZER;CN="BASA":MAILTO:info@basatraining.com
END:VEVENT
END:VCALENDAR