Data Science & Analytics · Greater Noida
Data Science Course in Greater Noida (Alpha 1)
Turn raw spreadsheets and databases into business decisions. Skill Training Institute's Data Science & Analytics track covers the full analyst pipeline — Excel and SQL for data handling, Power BI for visual dashboards, Python and statistics for data science, and machine learning fundamentals — taught in-person at Alpha-1, Greater Noida with dataset-based projects, not just video lectures.
Data Science
Statistics, Python for data analysis, and machine learning fundamentals for a core data science role.
Data Analytics
Excel, SQL and Power BI combined into a practical business-analytics skill set.
Data Analytics (Extended)
A deeper diploma adding advanced statistics and multiple live business-case projects.
Advanced Excel & Power BI
Combined mastery of Excel's advanced formulas and Power BI's dashboard/report-building tools.
Microsoft Power BI
Dedicated, focused training on building interactive business-intelligence dashboards.
SQL for Data Analytics
Query large datasets confidently — joins, aggregations and window functions used daily by analysts.
Machine Learning — Basics
An introduction to supervised/unsupervised learning models using Python, for those moving toward AI roles.
1What is Data Science?
Data Science is the practice of collecting, cleaning and analysing data to answer business questions and build predictive models. A working data scientist typically moves through four stages: gathering data from spreadsheets, databases or APIs; cleaning and exploring it using tools like Excel, SQL and Python (Pandas/NumPy); visualising patterns through dashboards in Power BI; and, where needed, building machine learning models with scikit-learn to predict future outcomes such as sales, churn or credit risk.
In Greater Noida and the wider Delhi NCR region, demand for these skills comes mainly from IT services companies, e-commerce and fintech firms, and analytics teams inside manufacturing and BPO companies headquartered in Noida, Greater Noida and Ghaziabad — which is why STI's course is built around practical, dataset-based projects rather than only theory.
In short: Data Analytics answers "what happened and why" using Excel/SQL/Power BI. Data Science adds Python and statistics to also answer "what will happen next" using machine learning.
2Data Science vs Data Analytics vs Machine Learning
These three terms are often used interchangeably, but the day-to-day work — and the course you should join — is different for each. Here's how STI's tracks map to the actual job roles:
| Track | Core focus | Main tools | Best for |
|---|---|---|---|
| Data Analytics | Reporting & dashboards on existing data | Excel, SQL, Power BI | Commerce graduates, working professionals in reporting/MIS roles |
| Data Science | Statistics, Python & predictive modelling | Python, Pandas/NumPy, SQL, ML basics | Graduates aiming for data scientist / analyst roles |
| Machine Learning — Basics | Building & evaluating prediction models | Python, scikit-learn | Those with some data background moving into AI/ML roles |
| Advanced Excel & Power BI | Formula mastery + BI dashboards | Excel (DAX-level), Power BI, Power Query | Finance/operations professionals needing reporting skills fast |
| SQL for Data Analytics | Querying large datasets | SQL joins, subqueries, window functions | Anyone who needs to pull and combine data from databases |
3Curriculum Breakdown (Data Science, 6 Months)
The flagship Data Science course is structured in four progressive modules so that every concept builds on dataset-based practice rather than slides alone:
- Module 1 — Foundations of Statistics: descriptive statistics, probability, distributions, hypothesis testing — the math behind every data decision.
- Module 2 — Python for Data Analysis: Python syntax, control flow, functions, and the Pandas/NumPy libraries used to clean, transform and explore real datasets.
- Module 3 — Data Handling with SQL: writing queries to extract, join and aggregate data from relational databases, mirroring how analysts pull data in real companies.
- Module 4 — Machine Learning Basics: regression and classification models, model evaluation metrics, and an introduction to scikit-learn, closing with a capstone project on a real-world dataset.
Related, shorter tracks (SQL for Data Analytics, Microsoft Power BI, Advanced Excel & Power BI) let you pick up individual modules faster if you already have some background, while Data Analytics (Extended) is a 12-month diploma that adds advanced statistics and several live business-case projects on top of the core Data Analytics syllabus.
4Tools & Software You'll Work With
| Category | Tools taught |
|---|---|
| Spreadsheets & reporting | Microsoft Excel (advanced formulas, PivotTables, DAX-level functions) |
| Business intelligence | Microsoft Power BI (data modelling, DAX, Power Query, dashboards, publishing) |
| Databases | SQL (joins, aggregation, subqueries, window functions) |
| Programming | Python, Pandas, NumPy |
| Machine learning | scikit-learn (regression, classification, model evaluation) |
5Who Should Join / Eligibility
Commerce graduates
Start with Data Analytics (Excel, SQL, Power BI) — no coding background needed — then progress to Data Science if you want to add Python and ML.
STEM / engineering graduates
Can join Data Science or Machine Learning — Basics directly, building on existing comfort with logic and mathematics.
Working professionals
Finance, operations and MIS professionals in Greater Noida/Noida offices often join Advanced Excel & Power BI or SQL for Data Analytics for a fast, focused upgrade.
Career switchers
Non-technical graduates from any stream can start from the fundamentals — every course builds core concepts before moving to tools.
6Career Roles & Scope After This Course
Graduates of the Data Science & Analytics track are prepared for entry- and mid-level roles including:
- Data Analyst — builds reports and dashboards using Excel, SQL and Power BI.
- Business Intelligence (BI) Analyst — designs and maintains Power BI dashboards for business teams.
- Data Scientist (entry-level) — uses Python, statistics and ML to build predictive models.
- MIS Executive / Reporting Analyst — common in Delhi NCR's BPO, finance and operations teams.
- Junior Machine Learning Engineer — after completing Machine Learning — Basics with a strong project portfolio.
Every course track includes the free Interview Preparation add-on — resume/LinkedIn building, mock interviews and soft-skills coaching — bundled with STI's 100% Placement Assist.
7Why Learn Data Science at STI, Greater Noida
Choosing an in-person institute over a generic online course matters most for a hands-on subject like data science. At Skill Training Institute, Alpha-1, Greater Noida, you get:
- Small, in-person batches on real systems — not shared lab time or pre-recorded videos.
- Dataset-based projects in every course, so you leave with a portfolio, not just a certificate.
- A full learning ladder — from Data Analytics fundamentals up to Machine Learning — so you can start where you are and grow without switching institutes.
- Local, walk-in access for students and professionals across Greater Noida, Noida and Ghaziabad, with doubt-clearing support that's harder to get from purely online platforms.
- 100% Placement Assist bundled with every course, including interview preparation.
8Areas We Serve Near Greater Noida
Our Alpha-1 campus is a short commute for students and working professionals from across Greater Noida and neighbouring cities, including:
9Frequently Asked Questions
Which is the best institute for a Data Science course in Greater Noida?
Skill Training Institute (STI) in Alpha-1, Greater Noida offers classroom-based Data Science, Data Analytics and Machine Learning courses with dataset-based projects, small batches and 100% placement assistance — a practical option if you want hands-on, in-person training rather than a purely online course.
What is the difference between Data Science, Data Analytics and Machine Learning courses?
Data Analytics focuses on Excel, SQL and Power BI to analyse existing data and build reports/dashboards. Data Science adds Python, statistics and machine learning fundamentals to build predictive models. Machine Learning (Basics) is a deeper, focused course on supervised and unsupervised learning algorithms for those who already have some data or programming background.
Do I need a technical or coding background to join?
No prior coding experience is required for the Data Analytics track (Excel, SQL, Power BI). For Data Science and Machine Learning, basic comfort with numbers and logical thinking is enough — Python is taught from the fundamentals as part of the course.
How long does the Data Science course take to complete?
Duration ranges from 2 to 12 months depending on the program: SQL for Data Analytics and Microsoft Power BI are 2 months, Advanced Excel & Power BI is 3 months, Data Science and Machine Learning — Basics are 6 months, and Data Analytics (Extended) is a 12-month diploma.
Can commerce students join Data Science and Data Analytics courses?
Yes. This track is designed for both commerce and STEM graduates. Commerce students typically start with Data Analytics before progressing to Data Science, while STEM/engineering students often go directly into Data Science or Machine Learning.
Which tools and software are taught?
Python, Pandas and NumPy for data analysis; SQL for database querying; Microsoft Excel and Power BI (DAX, Power Query, dashboards) for reporting; and scikit-learn for machine learning model building.
Is placement assistance included?
Yes — every course, including Data Science & Analytics, is bundled with a free Interview Preparation add-on (resume/LinkedIn building, mock interviews, soft-skills coaching) backed by STI's 100% Placement Assist.
Where exactly is the training centre located?
504, 5th Floor, MSX Tower-2, Alpha-I Commercial Belt, Block E, Greater Noida, Uttar Pradesh 201310 — easily accessible from Alpha 1, Alpha 2, Beta, Gamma, Delta, Pari Chowk, Knowledge Park and nearby sectors, as well as Noida and Ghaziabad.
Not sure which course fits you?
Book a free demo or talk to our counsellor — we'll help you pick the right one.