Data Analytics Foundation

Data Analytics Foundation

Learn data analysis using Power BI, Excel and SQL to create, analyse, visualise and report intelligent data for research purposes and business growth.

Become a Data Analytics Expert

This Data Analytics Foundations Course is suitable for individuals at all levels involved in research, data gathering/management, digital/traditional marketing or individuals who want to take up a specialist role in Data Analytics. According to the World Economic Forum, Data Science and Analytics is one of the most in-demand skills in the world today.

Haptics has put together this Data Analytics Foundations course to help both beginners and early career professionals develop their capacity to use leading tools to analyze data and generate insights from big data.

By the end of the course, you will be able to:

Cost & Duration





6 Weekends

Sat: 10am - 2pm
Sun: 12pm - 4pm

Program Benefits

Module 1: Introduction to Data Analytics

In this module, we will explore the fundamentals of Data analysis ranging from statistics, data modeling, and frameworks and tools and software used for data analysis. 

Key Learning Outcomes

  • Introduction to Descriptive Statistics.
  • Application of Descriptive Statistics
  • Types of Data Analytics 
  • Career opportunities in Data Analytics 
  • Introduction to Data Frameworks & Models
  • Introduction to tools for Data Analytics; Programmes, Softwares & Languages
Module 2: Introduction to Excel & Spreadsheets

Microsoft Excel and spreadsheets are the most popular and simple data analysis software. This module walks you through the use of excel. You will learn how to perform basic and complex excel functions such as arithmetic and statistical functions.

Key Learning Outcomes

  • Introduction to Excel functions
  • Introduction to Data manipulation functions: Pivot tables and lookup functions
  • Creating charts and visualizing data in Excel
  • Excel formulas and shortcodes
Module 3: SQL for Data Analytics (Part 1)

SQL means Structured Query language. It is a declarative and domain-specific language mostly used by business analysts, software engineers, data analysts, and many other professions that make use of data. In this module, you’ll first learn to extract or download data from a database, join tables together, and perform aggregations. Then you’ll learn to do more complex analysis and manipulations using subqueries, temp tables, and window functions. 

Key Learning Outcomes

  • SQL Select Statements
  • Aggregation Statements
  • Writing queries with SQL
Module 4: SQL for Data Analytics (Part 2)

This is a continuation of part 1 of SQL for Data Analytics where you will learn how to use join and aggregation functions on a set of values.

Key Learning Outcomes

  • SQL Join & Aggregation
Module 5: PowerBI Visualization (Part 1)

Data is important but what is more important is insights. Data is readily available to capture but one of the toughest tasks for Data analysts is connecting the dots between multiple sources and types of data. This module teaches you how to connect multiple data sources to tableau and the skills needed to prepare, analyze, manipulate, and visualize the data. 

Key Learning Outcomes

  • Connecting to Data in Power BI
  • Preparing Data in PowerBI
  • Joins, Unions & Data Blending
  • Analyzing Data in PowerBI
  • Basic Visualizations
  • Customizing Visualizations
  • Managing Data Properties
Module 6: PowerBI Visualization (Part 2)

Data Visualisation tool that is widely used for Business Intelligence but is not limited to it. It helps create interactive graphs and charts in the form of dashboards and worksheets to gain business insights. And all of this is made possible with gestures as simple as drag and drop!

In this module, you will learn how to apply visualization principles to the data analysis process. Explore data visually at multiple levels to find insights and create an engaging story.

Key Learning Outcomes

  • PowerBI Calculations
  • Sharing Insights
  • Building Dashboards
  • Building Stories
  • Creating Interactive Dashboards
  • Exam Walkthrough
Module 7: Capstone Project

Each student is expected to present their project at the end of the cohort.

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