Data Engineering & Analytics
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.
Enroll NowDURATION
4-6 Months
Full-Time / Part-Time
LEVEL
Beginner to
Job-Ready
MODE
Online / In-Person
Live Classes
CERTIFICATE
Industry-Recognized
Certifications
What You Will Learn
SQL for data analysis
Python, pandas, NumPy
Data cleaning and transformation
ETL / ELT with Airflow
Data warehousing (BigQuery / Snowflake)
Data modeling
Power BI / Tableau
Statistics and analytics
Business metrics and KPI design
Data storytelling
You will learn how to turn data into insights that drive real business impact.
Projects Students Build
- 1
Real-world data cleaning and analysis report
- 2
ETL or ELT data pipeline
- 3
Data warehouse model
- 4
Power BI or Tableau dashboard
- 5
Final analytics capstone with business recommendations
Certifications
Google Data Analytics Professional Certificate
Microsoft Certified: Power BI Data Analyst Associate
dbt Fundamentals
(Optional Add-on)
Career Outcomes
Graduates of this course are prepared for entry-level roles such as:
Data Analyst Intern
Analytics Intern
BI Developer Intern
Reporting Analyst Intern
Junior Data Engineer Intern
Junior Data Scientist Intern
Career outcomes
Graduates are prepared for entry-level roles such as:
Data Analyst Intern
Analytics Intern
BI Developer Intern
Reporting Analyst Intern
Junior Data Engineer Intern
Junior Data Scientist Intern