Foundation Certificate in Applied Data Analytics
A 6-month foundation program in Applied Data Analytics covering SQL, Python, Excel, Power BI, and Tableau with hands-on projects—designed for beginners and professionals seeking industry-ready analytics skills.

The Foundation Certificate in Applied Data Analytics is a 6-month, industry-oriented training program designed to equip beginners, students, and working professionals with complete applied analytics skills used in modern data-driven organizations. This certification provides hands-on mastery across data fundamentals, SQL, Python programming, Excel analytics, Power BI, and Tableau, enabling learners to build a strong foundation for high-growth careers in Data Analytics, Business Intelligence, and Applied Data Science.
A Complete Starter-to-Professional Pathway
The program begins with Module 1: Diving into the World of Data, where learners explore the fundamentals of data, data analytics, and the full methodology of data science. You will understand various data types, visualization strategies, graph interpretation, and the tools used by modern analysts. This module builds strong conceptual clarity for absolute beginners, while also providing a valuable refresher for professionals.
Master SQL for Real-World Data Handling
In Module 2: SQL Essentials, learners spend 22 hours mastering SQL—the most essential skill for every data professional. The module covers data types, DDL, DML, DQL, WHERE conditions, filtering, comparison operators, joins, sub-queries, SQL functions, aggregation, and GROUP BY with HAVING. By the end, learners can confidently query, extract, manipulate, and analyze data from relational databases.
Become Skilled in Python Programming for Analytics
Module 3: Python Essential (Part 1 & 2) offers 52 hours of structured Python training. Learners begin with syntax, variables, data types, control flow, loops, and functions before transitioning into advanced concepts such as:
-
Object-Oriented Programming (OOP)
-
File handling
-
Regular Expressions
-
Web Scraping
-
NumPy for numerical computing
-
Pandas for data manipulation
-
Matplotlib & Seaborn for visualization
By completing this module, participants gain the ability to clean, transform, analyze, and visualize data using the most in-demand programming language in analytics.
Excel & Power BI for Applied Business Analytics
In Module 4: Data Analytics Essentials, learners get hands-on experience with Excel, mastering sorting, filtering, PivotTables, formulas, conditional formatting, dashboards, and financial/sales analytics projects.
Power BI is also introduced, enabling students to build interactive reports and understand core BI workflows.
Master Tableau for Visual Analytics
Module 6: Tableau (Parts 1 & 2) includes 26 hours of expert-led training in the world’s most popular data visualization tool. Learners study:
-
Tableau architecture
-
Data connections, joins & blending
-
Discrete vs. continuous fields
-
Calculated fields, parameters & table calculations
-
Chart creation (histograms, heat maps, tree maps, scatter plots, bullet graphs, box plots, Gantt charts, etc.)
-
Drag-and-drop analytics
-
Dashboard building & publishing
-
Performance optimization
-
Real-world IPL case study
By the end of the program, learners can independently build compelling dashboards and visual stories used in business reporting.
A Practical, Job-Ready Learning Experience
This 5-month certification is built on practical learning, real case studies, data projects, and industry-standard skills—ensuring you graduate with job-ready capabilities and a strong analytics portfolio. Whether you are preparing for Data Analyst, Business Analyst, BI Developer, or Junior Data Scientist roles, this program provides the essential applied training to launch your career with confidence.
Course Information
Recent Courses
Compare Course
Click the button below to compare this course with another one.