WORKSHOPS

In today’s data-driven world, businesses are awash with information. But how do you turn that information into actionable insights that can drive strategic decision-making? This two-day course will provide you with the essential tools and techniques 

for data analytics, enabling you to extract valuable insights from your data and make informed decisions that can improve your bottom line.

Business professionals who want to make better use of data to improve their decision-making, Marketing professionals who want to gain insights into customer behavior, Product managers who want to develop data-driven products, Sales professionals who want to identify new leads and opportunities, Anyone who wants to learn how to use data to solve business problems. 

Certificate of participation issued by the UASA & SCA Professional Training & Examinations Centre.

15:00 - 16:20 Session 1

16:20 - 16:30 Break

16:30 - 17:50 Session 2

17:50 - 18:00 Break

18:00 - 19:00 Session 3

Foundational Concepts and Skills 

• Introduction to Data Analytics for Business 

o The role of data analytics in today’s data-driven business landscape 

o Understanding the data analytics lifecycle and its applications 

o Exploring the benefits and challenges of data analytics implementation 

• Data Fundamentals and Data Management 

o Types of data, data sources, and data structures 

o Data quality principles and data cleaning techniques 

o Data storage, data warehousing, and data governance practices 

• Exploratory Data Analysis (EDA) and Data Visualization 

o Summarizing and visualizing data using statistical measures and charts 

o Identifying patterns, trends, and outliers in data 

o Communicating data insights through effective data visualizations 

• Descriptive Analytics and Business Intelligence 

o Understanding descriptive statistics and measures of central tendency & dispersion 

o Creating data visualizations to communicate key business metrics 

o Applying descriptive analytics to business problem-solving and decision-making

Predictive Modeling and Prescriptive Analytics 

• Predictive Analytics and Forecasting 

o Introduction to predictive modeling concepts and techniques 

o Supervised learning algorithms for regression and classification 

o Model evaluation, selection, and deployment 

• Prescriptive Analytics and Optimization 

o Understanding prescriptive analytics and its role in decision optimization 

o Optimization techniques for resource allocation and business processes 

o Applying prescriptive analytics to real-world business problems 

• Data Ethics, Privacy, and Responsible Data Use 

o Understanding data privacy regulations and ethical considerations 

o Implementing data governance practices to protect data privacy 

o Ensuring responsible data use and ethical data analytics practices 

o Overview of popular data analytics tools and programming languages