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DTSTART;VALUE=DATE:20260915
DTEND;VALUE=DATE:20260920
DTSTAMP:20260203T061839Z
CREATED:20250819T141721Z
LAST-MODIFIED:20260203T061839Z
UID:10053044-1789430400-1789862399@basatraining.com
SUMMARY:Certified Data Analytics Professional
DESCRIPTION:Certified Data Analytics Professional\nWhy Attend\nOrganizations that leverage data analytics are 23 times more likely to acquire customers and six times more likely to retain them\, according to a Forbes report. Additionally\, McKinsey estimates that data-driven organizations are 23 times more likely to outperform their non-data-driven counterparts in terms of customer acquisition. \nData analytics\, rooted in statistical principles dating back to Ancient Egypt\, has witnessed an exponential surge in recent times due to globalization and technological advancements. With an estimated 2.5 quintillion bytes of data generated daily globally\, organizations increasingly harness data to drive strategic decision-making. This surge has led to the emergence of specialized roles like data analysts\, data scientists\, and data engineers. \nOverview\nThis course equips professionals with a comprehensive understanding of the core concepts of data analytics\, the various stages of the data analysis process\, and the diverse methodologies employed for data analysis. Moreover\, participants gain proficiency in visualizing analysis outputs through charts\, graphs\, and plots\, enhancing their ability to derive insights from data effectively.  At the end of this course\, participants will be given the opportunity to sit for the globally recognized “EXIN Data Analytics Foundation” certification. \nCourse Methodology\nThis is an interactive course\, preparing participants both for the EXIN examination and real life applications with hands-on exercises.  Course training techniques include visualization\, group discussions\, exercises\, and presentations. \nCourse Objectives\nBy the end of the course\, participants will be able to: \n\nRefine unstructured data from sources\, such as Excel\, Python\, or PowerBI\, into structured insights that will solve business challenges\nUnderstand concepts relating to generating a research question\, such as collecting\, cleaning\, and organizing data\nComprehend statistical methods\, data mining techniques\, and algorithms to support the interpretation of data\nGenerate insights for the organization by illustrating findings in plots and graphs to present a business case with solidly backed insights\nDescribe and illustrate Data Visualizing design techniques and utilize visualization tools\n\nTarget Audience\nThis course is designed for anyone at the start of a data analytics role\, such as data/information analysts\, business intelligence analysts\, data administrators\, business information managers\, data/analytics managers and data scientists. \nThis course is also suitable for those who are interested in the business benefits of data analysis and the techniques involved in it. These roles could include\, but are not limited to\, digital marketing/media specialists\, market research analysts\, business analysts\, finance professionals and HR professionals. \nTarget Competencies\n\nData Insights\nBusiness Intelligence\nCleaning Data\nData Analysis\nData Visualization\n\nCourse Outline\n\n\nTurning data into insights\n\n\n\nIntroduction to the process of data analytics\nConcepts related to data analytics\nSteps in the process of data analytics\nRisks in data analytics\nBusiness Intelligence and business decisions\n\n\n\nData collecting\, organizing\, and managing\n\n\n\nData collection channels\nSourcing public data\nContemporary data laws and compliance\nRaw data\, structured data\, unstructured data and big data\nDatabase types\nDistributed file systems\nCloud solutions and their advantages\nDependent and independent variables\nContinuous and discrete variables\n\n\n\nData cleaning\n\n\n\nProblems with data\nData scrubbing methods:\n\nVariable selection\nMerging variables\nOne-hot encoding\nBinning\n\n\nEffective Data scrubbing techniques\nEfficient Data retention\n\n\n\n\n\n\n\nData analyzing\n\n\n\nData analytics and statistics\nDescriptive statistics and inferential statistics\nData mining\nMachine learning\nNatural Language Processing (NLP)\nMethods and techniques of Natural Language Processing (NLP)\nData and algorithms\nRegression analysis\nClassification models\nClustering analysis\nAssociation analysis and Sequence mining\n\n\n\nData visualizing\n\n\n\nExplanatory and exploratory graphics\nTypes of charts\nTypes of plots\nUsage of heatmaps\nAesthetic design\nVisualization tools\n\n\n\nPreparing for the EXIN Data Analytics Foundations exam\n\n\n\nBloom levels\nBasic concepts\nLiterature handling\nHow to use the Sample Exam\nHow to use the Rationale\nExam tips\n\n\n\nEvent Coordinated by BASA Training \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 Information		\n			of Course Name\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/certified-data-analytics-professional-2-2-2/2026-09-15/
LOCATION:Pretoria\, 484 Hilda St\, Hatfield\, Pretoria\, Gauteng\, 0083\, South Africa
CATEGORIES:Data Analytics and Artificial Intelligence
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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			Type Organization Applicant\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
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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			2 Name Address\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
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20260928T080000
DTEND;TZID=Europe/Helsinki:20261002T170000
DTSTAMP:20260831T105444Z
CREATED:20260801T220000Z
LAST-MODIFIED:20260831T105444Z
UID:10071517-1790582400-1790960400@basatraining.com
SUMMARY:Data Analyst - Five-day short Course
DESCRIPTION:Data Analyst – 5-day short Course\nWhy Attend\nCatalyze impactful change in your organization with BASA’s in-depth course on data analytics. Designed with a focus on practical application\, this course aims to equip participants with a comprehensive understanding of the transformative role of data analytics in modern decision-making processes. Participants will learn to formulate data-driven questions that align with their organization’s objectives\, identify suitable data sources\, and analyze large datasets using advanced Excel techniques. In addition\, participants in this course will acquire the skills needed to create compelling data visualizations that can be used to present data-driven insights. \n\nCourse Methodology\nThis course uses Excel for analyzing complex datasets. Participants will collaborate on analyzing a real-world business case and will be expected to present their data-driven insights in a simulated board meeting. \n\n\nCourse Objectives\nBy the end of the course\, participants will be able to: \n\nEvaluate the role of data analytics in improving organizational decision making\nFormulate data-driven analytical questions tied to business objectives\nIdentify suitable data sources and ensure the accuracy of collected information\nAnalyze large datasets using advanced Excel techniques\nCreate effective data visualizations and present data-driven insights to stakeholders\n\n\n\nTarget Audience\nAnalysts and professionals who are looking to build their data analysis skills as well as those who are interested in improving their decision making capabilities based on data-driven insights \n\n\nTarget Competencies\n\nAnalytical thinking\nSourcing data\nValidating data\nStructuring data\nAnalyzing data\nData visualization\n\nOutline\n\n\nData Analytics and Organizational Decision Making\n\n\n\nThe objective of data analytics\nThe role of the data analyst\nData analytics as a set of activities\nData analytics as a decision-making paradigm\nAnd as a set of practices and technologies\n\n\n\nFraming the Data Analytics Approach\n\n\n\nIdentifying the real issue\nEstablishing key metrics\nUnderstanding the problem\nUsing logic trees\nUsing the prioritization matrix\n\n\n\nSourcing Data\n\n\n\nData sources\nGathering quantitative data\nUsing qualitative data\nBenchmarking\nConducting informational interviews\nValidating data\n\n\n\n\n\n\n\nAnalyzing Data\n\n\n\nPreprocessing data\nExploratory data analysis\nStatistical data analysis\nPrescriptive analysis\nPredictive analysis\nIntroduction to machine learning\n\n\n\nCommunicating Data-Driven Results\n\n\n\nPrinciples of data visualization\nCreating compelling data visualizations\nUnderstanding stakeholder needs\nPresenting data-driven insights\nTelling the story behind the 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 *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 Type Contact\n			\n		\n		Additional Participants detailsSubmit
URL:https://basatraining.com/course/data-analyst-five-day-short-course-2/2026-09-28/
LOCATION:Pretoria\, 484 Hilda St\, Hatfield\, Pretoria\, Gauteng\, 0083\, South Africa
CATEGORIES:Data Analytics and Artificial Intelligence,Government and Public Sector
ATTACH;FMTTYPE=image/jpeg:https://basatraining.com/wp-content/uploads/2024/10/fgfgfdgfdg-PK3A08.jpg
ORGANIZER;CN="BASA":MAILTO:info@basatraining.com
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