Quick answer: A data analyst turns existing data into reports and decisions, and a data engineer builds the pipelines that bring that data to the analyst. Choose Data Analytics with AI if you are from any graduate background and want dashboards and insights. Choose Data Engineering with AI if you are comfortable with programming and want to build data systems.
Every course at Scholar’sEdge Academy in JP Nagar, Bangalore runs 3 hours a day from Monday to Friday plus a Saturday lab, has a weekend batch, and includes a 2-month internship.
Data analyst vs data engineer at a glance
| Data Analytics with AI | Data Engineering with AI | |
|---|---|---|
| Duration | 4 months | 5 months |
| Offer fee (regular fee) | ₹20,999 (₹29,999) | ₹35,999 (₹44,999) |
| Who can join | Any graduate and working professionals | Engineering, BCA, MCA and BSc (CS, IT, Maths, Stats) graduates or final-year students; SQL developers, testers, support staff and data analysts moving up |
| Core tools | Advanced Excel, SQL, Power BI with DAX, Tableau basics, Python with Pandas | Python, SQL, PySpark and Spark, Airflow, Kafka, AWS (S3, Glue, Athena, Redshift, Lambda), Snowflake, Delta Lake, dbt, Docker |
| Projects | Retail sales dashboard, credit-risk analysis, marketing ROI and segmentation, capstone presented to a panel | Batch ETL pipeline, Airflow daily pipeline with data-quality checks, real-time Kafka and Spark pipeline, deployed AWS capstone |
| Job roles | Data Analyst, BI Analyst, MIS Analyst, Junior Business Analyst | Junior Data Engineer, Data Pipeline Associate, ETL Developer, Analytics Engineer (Junior), SQL / Data Warehouse Developer |
| Certification alignment | Microsoft PL-300 | AWS Certified Data Engineer – Associate and Databricks Data Engineer Associate |
What a data analyst learns
The Data Analytics with AI course covers advanced Excel and basic statistics, SQL in depth (joins, CTEs and window functions), Power BI with DAX, Python for analysis with Pandas, AI tools for analysis and reporting, and business case studies in BFSI, e-commerce, marketing and HR.
What a data engineer learns
The Data Engineering with AI course covers Python, Git, Linux and SQL in depth, data modelling (OLTP, OLAP and star schema), ETL and ELT with Pandas, PySpark and Spark, orchestration with Airflow, Kafka basics for streaming, the AWS data stack and Snowflake basics, plus Delta Lake, data quality with dbt, Docker and CI/CD.
How to choose
- You enjoy questions about business numbers: pick Data Analytics.
- You come from commerce, arts or a non-programming background: Data Analytics is open to any graduate.
- You like building systems and writing code: pick Data Engineering.
- You already write SQL at work: Data Engineering is open to SQL developers, testers, support staff and analysts moving up.
Do both
The End-to-End Data Professional combo course takes Data Analytics and then Data Engineering over 9 months for ₹54,999. Bought separately at their offer fees, the two courses cost ₹56,998.
Frequently asked questions
Does a data engineer need to know analytics?
Not required, but the two skills fit together. The combo course teaches analytics first and engineering second.
Which course is shorter?
Data Analytics with AI is 4 months and Data Engineering with AI is 5 months.
Is there an internship?
Yes, 2 months for every enrolled student.
Not sure yet? Talk to us
Book a free demo class or ask for 1:1 guidance on WhatsApp at +91 99020 58603, or use the form on our contact page. You can also compare all our courses and our combo courses. Scholar’sEdge Academy is at Building No. 19, 25/1, 9th Cross Road, 2nd Phase, J. P. Nagar, Bengaluru, Karnataka 560078.
