Skill Degree in Data Analytics
4 months of live learning across 14+ modules. Learn Excel, statistics, Python, SQL and Power BI, work on 10+ capstone projects with mentors from industry, and get interview preparation for your first data role.
- 4 months live
- 14+ modules
- 10+ capstone projects
- Hybrid classes
- Minimum 5 interviews guaranteed (T&C apply)
- What it is
- A live data analytics course with 10+ industry capstone projects
- Who it’s for
- Full-time professionals and students who want to work with data
- How long
- 4 months of live learning, hybrid classes
- After it, you can
- Clean and analyse data with Python and SQL, and build dashboards in Power BI
- Why SkillCircle
- 10 years · Best Vocational Institute 2026 (Entrepreneur India) · Vishleshan i-Hub (IIT Patna) · NASSCOM FutureSkills
Knowing the tools isn’t enough to get hired
Recruiters want analysts who can take raw data, find the story in it and present it clearly. That takes practice on real problems.
Where most beginners get stuck
- Scattered tutorials on Excel, Python and SQL with no clear path
- No real datasets or projects to show
- No feedback from people who work with data
- Unsure how to prepare for interviews
How the Skill Degree fixes it
- A structured path of 14+ modules with live classes
- 10+ capstone projects across BFSI, FMCG, healthcare, automobile and entertainment
- Dedicated mentors from industry
- Interview preparation, including sessions with an HR professional from naukri.com
Learn, practise, build, get interviews
Every stage builds on the one before, so you finish with skills, projects and interview-ready confidence.
- 1
Learn
4 months of live classes across 14+ modules.
- 2
Practise
Excel, statistics, Python, SQL and Power BI on real datasets.
- 3
Capstones
10+ industry projects with dedicated mentors.
- 4
Portfolio
Analyses and dashboards you can show recruiters.
- 5
Interviews
Interview preparation and a minimum of 5 interviews via #JobCircle (T&C apply).
What you’ll be able to do after the course
What you’ll be able to do
- Collect, explore and clean data with Excel and Python (Pandas, NumPy)
- Apply descriptive and inferential statistics, including hypothesis testing
- Query databases with SQL: joins, grouping and subqueries
- Visualise data with Matplotlib, Seaborn and Plotly
- Build interactive reports and dashboards in Power BI
- Present insights that support business decisions
What you’ll build
- Capstone projects10+ projects across BFSI, FMCG, healthcare, automobile and entertainment
- DashboardsInteractive Power BI and Excel dashboards
- AnalysesPython and SQL analyses on real-world datasets
- PortfolioYour projects and certificates in one place
Upcoming Batches
| Batch | Start date | Timing | Mode / Centre | Action |
|---|
Don't see a timing that works for you? No worries. Talk to our admissions team and we'll try to find you a slot.
Get help with timingWant the full module list, schedule and batch options?
Get Complete Course DetailsSupport to land your first role
Resume & LinkedIn
Shape your resume and profile around your capstone projects.
Mock interviews
Interview preparation sessions by an HR professional working at naukri.com.
Interviews via #JobCircle
Openings from our hiring partners on #JobCircle, our in-house job portal.
Placement promise: Minimum 5 interviews guaranteed, or 1 year free learning (T&C apply). Getting hired depends on your skills, effort, interviews and the job market.
Data analytics course curriculum: 14+ modules
Pick a track to see its modules, then open a module for the topics covered.
01Introduction to Data Analytics
- Introduction to Data Analytics
- Introduction to Data Science
- Applications and impact in various industries
- Benefits of Data Analytics for businesses
02Data Analytics with Excel
- Basics of Excel
- Data formatting
- Data calculations
- Data automation
- Sorting and filtering
03Excel Data Functions
- IF functions
- COUNTIF, SUMIF
- VLOOKUP
04Tables & Dashboarding
- Pivot tables
- Analysis using pivot tables
- Charts
- Dashboarding
05Statistics for Data Analytics
- Qualitative and quantitative variables
- Population and sampling
- Sampling techniques
06Descriptive Statistics
- Measures of central tendency
- Measures of dispersion
- Normal distribution
- Skewness and kurtosis
07Inferential Statistics
- Hypothesis testing methods
- T-test, Z-test, Chi-square test
- ANOVA
08Probability
- Probability basics
- Common probability distributions
- Sampling and the Central Limit Theorem
09Python for Data Analytics
- Introduction to Python
- Syntax
- Variables and operators
- Built-in keywords and methods
- Data types and data structures
10Python: Intermediate
- Flow control statements
- If-else statements
- Loops
- Defining a function
- Lambda, map, reduce and filter
11Python: Advanced
- Classes and objects (OOP)
- Constructors and destructors
- Inheritance
- File handling and exceptions
12Exploratory Data Analytics (EDA)
- Introduction to EDA
- Libraries and modules used for EDA
- Importing and exporting data
- Getting data from web sources
13NumPy
- NumPy and its importance in EDA
- Arrays: creating, indexing and slicing
- Reshaping, concatenating and splitting arrays
- Filtering, boolean indexing, sorting and searching
- Working with missing data
- Statistical functions, linear algebra and random numbers
14Pandas
- Pandas and its role in EDA
- Series and DataFrames
- Indexing, selection and filtering
- Basic operations on Series and DataFrames
15Data Cleaning & Preprocessing
- Handling missing data
- Deduplication and data type conversion
- Merging and joining DataFrames
- Working with time series data
16Data Analysis with Pandas
- Descriptive statistics and summarisation
- Grouping and aggregation
- Pivot tables with Pandas
- Working with text data
17Data Visualisation
- Visualisation and its importance in EDA
- Basic concepts: figure, axes, plots
- Line, scatter and bar plots
18Matplotlib
- Basic plotting
- Customising and formatting plots
- Annotations
- Subplots and multiple plots
- Grids and complex layouts
19Seaborn
- Statistical plots: line, scatter, bar
- Histograms, box, violin plots and heatmaps
- Categorical and distribution plots
- KDE and regression plots
20Plotly
- Line, scatter, bar, pie charts, heatmaps and area charts
- 3D scatter plots and line charts
- Annotations and text
- Geographical plotting and maps
21MySQL: Databases & SQL
- What is a database?
- Introduction to SQL
- Tables, rows and columns
- Setting up MySQL Workbench
- Basic queries: SELECT, FROM, WHERE
22Data Retrieval with SQL
- INSERT INTO
- UPDATE
- DELETE FROM
- CREATE TABLE, ALTER TABLE
23Data Aggregation & Grouping
- SUM, AVG, COUNT and other functions
- GROUP BY
- HAVING
24Data Joins & Relationships
- Table relationships (foreign keys)
- INNER, LEFT and RIGHT JOIN
- Subqueries
25Power BI
- Power BI components and data sources
- Power Query Editor
- Data modelling, relationships and DAX basics
- Measures and calculated columns
- Visuals, slicers, filters, drill-through and drill-down
- Reports, dashboards and publishing to the Power BI Service
Capstone projects
At least 10 capstone projects across industries: BFSI, FMCG, healthcare, automobile and entertainment (2 each). Examples:
- Supply Chain Demand Forecasting
- BFSI Sector Analysis
- Real Estate Analysis
- Sales and Revenue Forecasting Analysis
- Sentiment Analysis on Customer Reviews
- HR Analytics: Employee Attrition
- Customer Segmentation Analysis
- E-commerce Order Analysis
- Inventory Management Report Analysis
- Airbnb Property Booking Analysis
Data analytics tools you’ll work with
Get hands-on with the tools analysts use for spreadsheets, programming, databases and dashboards.
- Excel
- Python
- SQL (MySQL)
- Power BI
- Tableau
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Plotly
Career paths after the data analytics course
Data analytics opens the door to roles like these. Some, such as data scientist or ML engineer, usually need further learning and experience.
- Data Analyst
- Business Analyst
- Data Engineer
- Data Scientist
- Data Architect
- Data Administrator
- ML Engineer
- AI Engineer
Trusted by learners, recruiters and the media
Best Vocational Institute 2026
Entrepreneur India
Vishleshan i-Hub (IIT Patna), NASSCOM FutureSkills
Plus IBM and Meta certifications on selected programs.
10 years, 15 centres
A decade of training learners, online and in classrooms across India.
Our hiring partners
SkillCircle in the news
Learn from Industry Practitioners
Our mentor network of 100+ industry experts includes founders, business leaders and specialists.
Amit Gupta
VP, Amar Ujala
Pranav Jha
Founder, AP Web World
Nishkarsh Sharma
Dropshipping Expert
Parul Mehta Bhargava
Founder, vCommission
Girish Singh
Head of Marketing, Uber
Amit Chawla
Business Clarity Coach
Classroom energy, community moments
Workshops, industry sessions, celebrations and convocations from the SkillCircle community.
Not sure if this course is right for you?
Talk to a career counsellor about your goals, the next batch and the admission process.