Data Analytics Program

Become a Job-Ready Data Analyst and Launch Your Career

Master Python, SQL, Excel, and Power BI. Work on real-world datasets, apply statistical techniques, build dashboards, and step confidently into data-driven roles with SkillMove’s structured, career-focused training program.

Fee
₹ 55,000/- + 18% gst

Why This Program

Data roles today demand more than tool familiarity. Employers expect professionals who can structure data, apply statistical thinking, build dashboards, and translate analysis into business decisions.

This program is built around that standard. The curriculum integrates Python, SQL, statistics, data visualization, and Power BI into a structured pathway progressing from fundamentals to real-world case studies and a capstone project.

Delivered through live instructor-led sessions, guided labs, and interview preparation, the focus is clear: To develop practical analytical capability aligned with industry expectations.

Key Outcomes You’ll Achieve

By the end of this program, you will be able to

Understand the complete data analytics lifecycle from data collection to interpretation
Write efficient SQL queries using SELECT, JOIN, GROUP BY, HAVING, subqueries and aggregations
Use Python for data manipulation, transformation, and file handling
Work with NumPy, Pandas, Matplotlib, Seaborn, and SciPy for analysis and visualization
Apply descriptive and inferential statistics, regression models, and hypothesis testing
Build interactive dashboards using Power BI and DAX
Execute real-world case studies including customer segmentation, sales forecasting, and fraud detection
Complete a capstone project and prepare for interviews with resume guidance

Who Should Enroll

Fresh Graduates

Graduates from engineering, commerce, science, or management streams who want to enter high-demand Data Analytics roles.

IT Professionals & Analysts

Professionals working in support, testing, operations, or reporting who want to upskill into analytics and business intelligence roles.

Women Returning to Work

Professionals resuming their careers after a break and looking for structured, job-oriented technical training.

Experienced Professionals Switching Domains

Working professionals transitioning into data analytics, business intelligence, or analytics-driven decision-making roles.

Anyone Passionate About Data

Individuals interested in data wrangling, statistical analysis, visualization, and real-world problem solving using Python, SQL, and BI tools.

Explosive Rise in Data Analytics Job Demand

(2020 – 2026)

Market Share by Data AnalyticsS Role (India)

Approximate Distribution of Analytics Roles

Average Salary by Data Analytics Career Path

(India, 2025 EST.)

Why SkillMove Stands Out

Industry-Relevant Curriculum

Covers fundamentals to advanced analytics techniques including Python, SQL, statistics, BI tools, and real-world case studies

Hands-On Learning

Work with real datasets, assignments, and a capstone project aligned to business scenarios

Expert Faculty

Trainers with 20+ years of real-time application experience

Personalized Mentorship

Live feedback, project guidance, and doubt resolution sessions

Career & Placement Support

Resume preparation, interview readiness, mock interviews, and 100% placement assistance

100% Online, Interactive Learning

Live instructor-led sessions via LMS with recordings and continuous evaluation

Data Analytics Modules

Program Structure & Modules

Module 1

Foundations of Data Analytics

Goal: Understand the basics of analytics before using AI.
Topics

  1. Introduction to Data Analytics
    • Types of analytics
      • Descriptive
      • Diagnostic
      • Predictive
      • Prescriptive
  2. Data Lifecycle
    • Data collection
    • Data storage
    • Data processing
    • Data visualization
    • Data-driven decisions
  3. Types of Data
    • Structured data
    • Semi-structured data
    • Unstructured data
  4. Data Sources
    • Databases
    • APIs
    • Logs
    • IoT data
    • Social media
  5. Data Quality
    • Missing data
    • Data cleaning
    • Data validation

Tools Introduced

  1. Excel
  2. Google Sheets
  3. Basic SQL

Practice
Clean messy datasets
Explore sales dataset

Module 2

Statistics for Data Analytics

Goal: Learn statistical thinking for analysis.

Topics

  1. Descriptive Statistics
    • Mean
    • Median
    • Mode
    • Variance
    • Standard deviation
  2. Probability Basics
    • Probability distributions
    • Conditional probability
  3. Hypothesis Testing
    • Null hypothesis
    • p-values
    • A/B testing
  4. Correlation vs Causation
  5. Regression Basics

Tools

  1. Python
  2. Excel

Libraries

  1. NumPy
  2. SciPy

Practice

  1. A/B testing analysis
  2. Sales trend analysis
Module 3

SQL for Data Analytics

Goal: Learn to extract and manipulate data.

Topics

  1. SQL Fundamentals
    • SELECT
    • WHERE
    • ORDER BY
    • GROUP BY
  2. Joins
    • Inner join
    • Left join
    • Right join
    • Full join
  3. Aggregation
    • COUNT
    • SUM
    • AVG
    • MAX / MIN
  4. Window Functions
    • ROW_NUMBER
    • RANK
    • PARTITION
  5. Query Optimization

Tools

  1. PostgreSQL
  2. MySQL
  3. BigQuery

Practice

  1. Retail analytics
  2. Customer segmentation
Module 4

Python for Data Analysis

Goal: Use Python for analytics workflows.

Topics

  1. Python Basics
    • Variables
    • Lists
    • Dictionaries
    • Loops
  2. Data Analysis Libraries
    • Pandas
    • NumPy
  3. Data Cleaning
    • Handling missing values
    • Data transformation
  4. Data Aggregation
  5. Exploratory Data Analysis (EDA)

Practice

  1. Analyze ecommerce dataset
  2. Data cleaning project
Module 5

Data Visualization

Goal: Present insights visually.

Topics

  1. Visualization Principles
  2. Charts for Analytics
    • Bar chart
    • Line chart
    • Scatter plot
    • Heatmaps
  3. Storytelling with Data

Tools

  1. Matplotlib
  2. Seaborn
  3. Plotly

BI Tools

  1. Power BI
  2. Tableau

Project

Create interactive dashboard

Module 6

Introduction to Generative AI

Goal: Understand how GenAI works.

Topics

  1. What is Generative AI
  2. Types of Generative Models
    • LLMs
    • GANs
    • Diffusion models
  3. Large Language Models
    • Transformers
    • Tokens
    • Embeddings
  4. Prompt Engineering Basics
  5. Ethical AI

Models

  1. GPT
  2. Gemini
  3. Claude
  4. LLaMA
Module 7

Generative AI for Data Analytics

Goal: Use GenAI to automate analysis.

Topics

  1. Natural Language to SQL
  2. AI-powered data exploration
  3. Automated insights generation
  4. AI-driven dashboards
  5. Conversational analytics

Tools

  1. ChatGPT
  2. Power BI Copilot
  3. Tableau GPT
  4. ThoughtSpot

Practice

  1. Ask questions to dataset
  2. AI-generated reports
Module 8

AI-assisted Data Analysis with Python

Goal: Combine Python + GenAI.

Topics

  1. Using LLM APIs
  2. Data analysis with GPT
  3. Auto-generated code
  4. AI-powered EDA
  5. Notebook assistants

Tools

  1. OpenAI API
  2. LangChain
  3. Jupyter Notebook

Example

AI automatically:

  1. writes Python code
  2. generates charts
  3. explains insights
Module 9

Synthetic Data Generation

Goal: Generate artificial datasets.

Topics

  1. Why synthetic data
  2. Privacy-preserving data
  3. Generative models for data
  4. Data simulation

Tools

  1. SDV
  2. Mostly AI
  3. Gretel AI

Project

Generate synthetic customer dataset

Module 10

Retrieval Augmented Analytics (RAG)

Goal: Connect AI with enterprise data.

Topics

  1. Embeddings
  2. Vector databases
  3. Retrieval augmented generation
  4. Document analytics

Tools

  1. FAISS
  2. Pinecone
  3. Weaviate
  4. LlamaIndex

Project

Build AI chatbot for analytics

Module 11

Automated Reporting Systems

Goal: Generate business reports automatically.

Topics

  1. AI report generation
  2. Data storytelling with AI
  3. Financial report automation
  4. Marketing insights automation

Tools

  1. GPT APIs
  2. Power BI
  3. Python

Project

Build automated business report generator

Module 12

Advanced GenAI Analytics

Goal: Build intelligent analytics systems.

Topics

  1. AI agents for data analysis
  2. Multi-step reasoning
  3. Autonomous analytics pipelines
  4. Self-service analytics systems

Tools

  1. LangChain
  2. AutoGPT
  3. CrewAI
Module 13

Industry Applications

Finance: Fraud detection & risk analysis
Marketing: Customer segmentation
Healthcare: Patient analytics
Retail: Demand forecasting
Supply Chain: Inventory optimization

Have more questions or need more information?

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Learning Methodology

Dedicated learning management System
Regular live interactive sessions
Weekly doubt solving sessions
Real – time case studies
Weekly Assignments
Live Projects
Resume building
1:1 Mentorship
Mock Interviews
Handover to placement team

Why Choose Us

The SkillMove Edge

Learn | Grow | Get Placed

At SkillMove, we don’t just teach we transform careers. Our programs are designed by industry experts and backed by our in-house placement team. Whether you’re a fresher, returning to work, or looking to upskill, SkillMove gives you the direction, support, and network to achieve your goals.

Our vision is to empower every individual who has the courage to “Dream Big” and “Never Give up on their Dreams”. These programs will not only enhance your skill sets but also provide an edge to beat the competition. In AI-First world, we need continuous upskilling and affordable certifications in order to become the top 1%. No matter what background you come from, your knowledge and dedication will make a difference, Your Success matters to SkillMove.

We believe learning should lead to real outcomes. That’s why our programs focus on practical skills, real-world projects, and career readiness. We don’t want you to just complete a course, we want you to feel confident applying your skills in interviews and on the job. With SkillMove, you’re not alone in your learning journey, you’re learning with a team that is invested in your growth.

What Is Skillmove Corporate Ready Training?

Our vision is to empower every individual who has the courage to “Dream Big” and “Never Give up on their Dreams”. These programs will not only enhance your skill sets but also provide an edge to beat the competition. In AI-First world, we need continuous upskilling and affordable certifications in order to become the top 1%. No matter what background you come from, your knowledge and dedication will make a difference, Your Success matters to SkillMove.

The Skillmove Corporate Ready Training (CRT) is designed not merely as a training program but as a structured placement enhancement system. By combining AI integration, corporate simulations, domain awareness, and measurable analytics, this program positions institutions for stronger placement outcomes and students for accelerated career success.

Our Work Process

SkillMove Placement Process

Training Completion
Resume & LinkedIn Profile Preparation
Mock interviews & Soft Skills Sessions 
Assessment & Soft Skills Sessions
Job Referrals & Interview Scheduling
Offer Letter & Career Launch

Top Company Placements From SkillMove

Celebrate Your SkillMove

Get Certified

Upon successful completion, you’ll receive a SkillMove certification that’s recognized by employers and aligned with industry standards, your proof of becoming career-ready.

Data Analytics CERTIFICATE

Recognized by Leading

National Skill & Startup Missions

SkillMove is proudly associated with government recognized initiatives like Skill India, Startup India, AICTE, and MSME to deliver trusted, career-focused learning programs.

FAQS