Data Analytics and Engineering
Learn how to use SQL, Python, pandas, NumPy, Airflow, dbt, BigQuery or Snowflake, Power BI, Tableau, and analytics methods to help companies understand and use their data.
DURATION
12 Months
LEVEL
Beginner
MODE
Offline Classes
CERTIFICATE
IBM Certificates
What You Will Learn
Advanced SQL, Python (pandas)
Airflow,dbt,data pipleines
BigQuery/Snowflake, warehousing
Power BI, Tableau,dashboards
You will learn how to turn data into insights that drive real business impact.
Projects Students Build
- 1
Real-World Data Cleaning Project
- 2
Data Analysis & Visualization Report
- 3
Complete Data Pipeline Project
- 4
Data Warehouse Integration
- 5
Scheduled Pipeline with Monitoring
Certifications
Google Data Analytics Professional Certificate
Microsoft Certified: Power BI Data Analyst Associate
dbt Fundamentals
(Optional Add-on)
Career outcomes
Graduates are prepared for entry-level roles such as:
Data Analyst Intern at banks,telcos and large enterprises
Analytics Intern at e-commerce or SaaS companies
Business Intelligence Developer Intern
Reporting Analyst Intern at consulting firms
Junior Data Engineer Intern at Product companies