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Data Analytics with AI
Job Assured Program

Specialisation training with In-Built Internship & Job Interviews with CTC > 5.0LPA


Eligibility: B.Tech, BBA, B.Com, B.Sc

4.7
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icon 3500 + ratings
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India’s #1 education platform

Loved by 1L+ learners

4.8
Google Reviews
4.5k+
Alumni on LinkedIn
Hiring companies
Google
Amazon
Microsoft
Meta
Flipkart
Swiggy
Paytm
Zomato
Adobe
Accenture
Deloitte
Uber
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4500+ Students Got Top Internships & Jobs

Why choose this Program?


Who is this program for?








How does it work?

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    1. Learn: 8-12 Weeks Industrial Training
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    2. Intern: 4 Weeks | Live Project
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    3. Job: Assistance | Avg CTC > 5.0-8.0LPA
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You will earn
IIT, Google & Startup Certifications

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Program Fees

Standard fee of the program is 33,322/- + GST for all features

₹ 33,322/- 91% Discount for Today

Registration closing: Today

Pay ₹2999 & Enrol Now
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Pay ₹0 if Unplaced

Min CTC of 5.0 LPA ₹0 If Unplaced 100% Assurance
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Fee Details & Structure

Risk reversal, price clarity & urgency—organized for instant decisions.

100% Job Assured

Placed or pay ₹0

Full refund if offer < ₹5.0 LPA.

₹0 if unplaced You owe nothing if a qualifying job doesn’t land.
Full refund < ₹5.0 LPA If your offer is below ₹5.0 LPA CTC, we refund you fully.
Simple eligibility
  • Attend live classes & complete projects
  • Follow the guided placement plan
  • Stay interview-ready with mentors
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Curriculum

1. Business Knowledge 10 lessons
  • 1.1 Problem → Objective → Outcome mapping4:00
  • 1.2 North Star metric & KPI trees4:20
  • 1.3 Funnel math: Awareness → Purchase → Retention4:10
  • 1.4 Segmentation: RFM, CLV, personas3:40
  • 1.5 Business questions → Data questions4:00
  • 1.6 Impact vs effort prioritization3:30
  • 1.7 ROI estimation & back-of-envelope models4:10
  • 1.8 Requirement briefs & stakeholder alignment4:00
  • 1.9 Risk, assumptions, constraints log3:40
  • 1.10 Decision narratives & exec one-pager3:30
2. Data Frameworks 101 10 lessons
  • 2.1 Data lifecycle: collect → store → transform → use3:50
  • 2.2 Analytics layers: ELT/ETL, semantic models4:10
  • 2.3 Metric definitions & governance3:40
  • 2.4 Cohorts vs cross-sectional views4:00
  • 2.5 Time series & seasonality patterns3:50
  • 2.6 Data modeling: star & snowflake3:40
  • 2.7 Documentation: catalogs & dictionaries4:10
  • 2.8 Quality dimensions: accuracy, completeness, timeliness4:00
  • 2.9 Privacy & data ethics basics3:30
  • 2.10 Operational analytics vs BI vs ML3:40
3. Excel / G-Sheets for Analysis 10 lessons
  • 3.1 Data import, validation, constraints4:00
  • 3.2 Pivot tables & VLOOKUP/XLOOKUP3:50
  • 3.3 Conditional formatting & data bars4:00
  • 3.4 Formulas: SUMIFS, COUNTIFS, INDEX-MATCH4:20
  • 3.5 Charts: line, bar, area, scatter3:50
  • 3.6 Basic dashboards & slicers3:40
  • 3.7 Data cleaning: text functions & power query4:10
  • 3.8 What-if analysis & goal seek3:50
  • 3.9 Automation basics with macros3:30
  • 3.10 Collaboration & sharing tips3:40
4. Exploratory Data Analysis 9 lessons
  • 4.1 Descriptive statistics & distributions4:00
  • 4.2 Histograms, box plots, scatter plots4:20
  • 4.3 Outlier detection & treatment3:50
  • 4.4 Correlation & covariance4:10
  • 4.5 Trend analysis & seasonality3:30
  • 4.6 Data quality checks3:50
  • 4.7 Feature engineering basics4:00
  • 4.8 Reporting & storytelling3:40
  • 4.9 Dashboard fundamentals3:40
5. Statistics & Probability 9 lessons
  • 5.1 Data summarization & sampling4:00
  • 5.2 Probability distributions4:10
  • 5.3 Inferential statistics & estimation3:40
  • 5.4 Hypothesis testing & p-values3:50
  • 5.5 Confidence intervals3:30
  • 5.6 Correlation vs causation3:50
  • 5.7 ANOVA & t-tests4:00
  • 5.8 Bayesian thinking3:40
  • 5.9 Experimental design basics3:40
6. Data Wrangling in SQL 10 lessons
  • 6.1 Basics of SELECT & WHERE4:00
  • 6.2 JOIN types & set operations4:10
  • 6.3 Aggregations & GROUP BY4:00
  • 6.4 Window functions & ranking3:40
  • 6.5 Subqueries & CTEs3:50
  • 6.6 Indexes & query optimization3:30
  • 6.7 Data types & constraints4:10
  • 6.8 Transactions & ACID properties3:50
  • 6.9 Views & materialized views3:40
  • 6.10 Security & permissions3:40
7. Data Visualization Tools 9 lessons
  • 7.1 Tableau: connecting & aggregating4:00
  • 7.2 Tableau: visual analytics & KPIs4:10
  • 7.3 Tableau: dashboards & stories3:40
  • 7.4 PowerBI: data models & DAX3:50
  • 7.5 PowerBI: interactive dashboards3:30
  • 7.6 Chart types & best practices4:00
  • 7.7 Color theory & design principles3:40
  • 7.8 BI vs visualization tools3:50
  • 7.9 Reporting & sharing3:50
8. Programming in Python 10 lessons
  • 8.1 Python basics: types, loops & functions4:00
  • 8.2 NumPy & array operations4:20
  • 8.3 Pandas for data manipulation4:10
  • 8.4 Matplotlib & Seaborn visualizations3:40
  • 8.5 Exploratory data analysis in Python4:00
  • 8.6 Statistical modeling & scikit-learn3:30
  • 8.7 Data storytelling & communication3:50
  • 8.8 Packaging & reproducibility3:40
  • 8.9 Deployment basics3:40
  • 8.10 Python project case study3:50
9. Placement Preparation 10 lessons
  • 9.1 Building a data portfolio4:00
  • 9.2 Interview preparation & mock sessions4:10
  • 9.3 Resume & LinkedIn optimization3:40
  • 9.4 Technical vs HR interviews3:50
  • 9.5 Negotiating offers & salaries3:30
  • 9.6 Career paths in analytics3:50
  • 9.7 Networking & professional etiquette4:00
  • 9.8 Freelancing & side projects3:40
  • 9.9 Building a personal brand3:50
  • 9.10 Continuous learning & upskilling3:40
10. Advanced Topics 10 lessons
  • 10.1 Feature engineering & selection3:50
  • 10.2 Time series forecasting4:00
  • 10.3 Classification & clustering3:40
  • 10.4 Recommender systems3:40
  • 10.5 Natural language processing3:50
  • 10.6 Deep learning fundamentals4:10
  • 10.7 Model evaluation & tuning3:40
  • 10.8 Production ML & MLOps3:50
  • 10.9 Ethical AI & bias mitigation3:30
  • 10.10 Capstone project overview3:40
11. Industry Tools & Platforms 9 lessons
  • 11.1 Data warehousing platforms4:00
  • 11.2 Cloud analytics tools4:10
  • 11.3 ETL & ELT pipelines3:40
  • 11.4 Data cataloging & lineage3:50
  • 11.5 Version control & collaboration3:30
  • 11.6 Monitoring & observability3:40
  • 11.7 Scheduling & orchestration3:50
  • 11.8 Documentation & knowledge sharing3:30
  • 11.9 Compliance & governance3:40
12. Career & Professional Growth 9 lessons
  • 12.1 Building an online presence4:00
  • 12.2 Effective networking strategies4:10
  • 12.3 Personal branding & storytelling3:50
  • 12.4 Freelancing & consulting3:40
  • 12.5 Finding mentors & networking groups3:30
  • 12.6 Continuous learning & courses3:40
  • 12.7 Conferences & communities3:50
  • 12.8 Entrepreneurship basics3:50
  • 12.9 Balancing work & well-being3:40
13. Generative AI for Analytics 10 lessons
  • 13.1 Prompt engineering basics4:00
  • 13.2 Text summarization & classification4:10
  • 13.3 Conversational agents with LLMs3:50
  • 13.4 AI-assisted data cleaning3:40
  • 13.5 Generative visuals & charts4:10
  • 13.6 AI for insight generation3:50
  • 13.7 Ethics of generative AI3:30
  • 13.8 Case studies: GPT & analytics3:50
  • 13.9 Regulatory landscape3:30
  • 13.10 Future trends & outlook3:40
14. Cloud & DevOps Fundamentals 10 lessons
  • 14.1 Cloud deployment models3:50
  • 14.2 Data pipelines & orchestration4:00
  • 14.3 Infrastructure as code3:40
  • 14.4 Containerization with Docker3:50
  • 14.5 CI/CD pipelines3:30
  • 14.6 Security & compliance3:40
  • 14.7 Monitoring & observability3:50
  • 14.8 BI & ML integrations3:50
  • 14.9 Deployment patterns & SLAs3:50
  • 14.10 Cloud portfolio checklist4:00

You will use & master 50+ Tools


Excel
Google Sheets Google Sheets
Power BI Power BI
Tableau Tableau
Google Analytics
Looker Looker
Metabase Metabase
Mode Mode
Apache Superset Superset
ChatGPT ChatGPT
Claude Claude
Gemini Gemini
Cohere Cohere
LangChain LangChain
LlamaIndex LlamaIndex
Pinecone Pinecone
Hugging Face Hugging Face
SQL
Python Python
R R
Jupyter Jupyter
NumPy NumPy
pandas pandas
scikit-learn scikit-learn
TensorFlow TensorFlow
PyTorch PyTorch
You will Get Live Projects with top Startups
Top Startups Mentor Guided
Flipkart
Forecasting

SKU Demand Forecasting for Festive Sale

Build a weekly demand model for top 500 SKUs; craft feature engineering (price, discount, seasonality), quantify stockouts, and ship a Power BI planner for supply.

Difficulty: Intermediate Duration: 8–10 hrs Rows: 1.2M
KG
Karan Gupta
Risk Analyst
Project Guide
PhonePe
Growth

Cohort Retention & LTV Segmentation

Create weekly cohorts, compute retention/LTV, segment by geo & device; propose next-best-action campaigns and estimate impact.

Difficulty: Intermediate Duration: 6 hrs Events: 5M (sample)
MN
Meera Nair
Growth Analyst
Project Guide
Zomato
Experimentation

Menu A/B Test — Conversion & AOV Lift

Design an A/B test on a new menu layout; compute sample size, analyze effect size, and recommend a rollout strategy with guardrails.

Difficulty: Intermediate Duration: 5–6 hrs Sessions: 200k
AK
Aisha Khan
Data Scientist
Project Guide
Meesho
BI

Seller Performance Dashboard (Power BI)

Model orders/returns/reviews, build a scorecard with drill-through and DAX measures; ship a PDF with crisp storytelling headlines.

Difficulty: Beginner-Plus Duration: 4–5 hrs Rows: 120k
DP
Devanshi Patel
BI Specialist
Project Guide
Top-rated Mentors

Instructors from Top Companies will teach you

Work with practicing analysts & scientists — real feedback, real playbooks.

Workskills is India's #1 training platform

Customer reviews

4.7★
3,248 global ratings
5 star
76%
4 star
14%
3 star
6%
2 star
2%
1 star
2%
RS
Ritika S.
Reviewed in India · 2 weeks ago
Verified Purchase
got my first job interview, thanks
The mock interviews and weekly accountability made a huge difference. thanks workskills
AK
Arjun K.
Reviewed in India · last month
Verified Purchase
Superb TEACHING. Quality content
Live sessions are crisp, recordings are available. instructors are knowlegable
MM
Mahesh M.
Reviewed in India · 2 months ago
Verified Purchase
Live Projects look great on resume
cracked interview with Live project. Must have
NP
Neha P.
Reviewed in India · 1 week ago
Verified Purchase
Good but wanted weekend-only batch
Content is strong, but I couldn’t attend a few weekday sessions. The team shared recordings fast though. Adding one more weekend batch would help working folks.
SG
Sagar G.
Reviewed in India · 2 months ago
Verified Purchase
Paid ₹60K, worth the PRICE
I enrolled for ₹60K and This is the best priced, placement-focused program I’ve found. So much value at strong price point, highly recommended
VK
Vikram K.
Reviewed in India · 3 months ago
Verified Purchase
TCS job offer, 4.5LPA. Thanks workskills
I landed a job offer after 2 years of unemployement and trying by myself, thanks team workskills