Why Learn Data Science?

• Fastest-growing career of the 21st century
• Average salary in India: ₹7–14 LPA
• Senior-level roles: ₹20–60 LPA
• Applications across multiple domains
• Drives innovation, decision-making & transformation

The Data Science Life Cycle

1. Problem Formulation
2. Data Collection
3. Data Preparation
4. Data Exploration
5. Model Building
6. Model Deployment
7. Model Monitoring & Maintenance

Real-World Applications

• Marketing: Targeted campaigns & customer insights
• Finance: Fraud detection & investment strategies
• Healthcare: Patient prediction models
• E-Commerce: Personalized product recommendations
• Manufacturing: Quality control & automation
• Transportation: Route optimization & logistics

Tools You Will Learn

• Programming Languages: Python, R, SQL
• Visualization Tools: Tableau, Power BI, Excel
• Notebooks & Analysis: Jupyter, MATLAB
• Data Management: Hadoop, AWS Redshift
• ML Platforms: Spark, Azure ML Studio

Why Choose DSM?

• Beginner-friendly—No coding experience required
• Ideal for both freshers and professionals
• Real-world case studies and hands-on learning
• Mentorship, group discussions & assignments
• 100% Placement Assurance after Internship

Learning Timeline

With structured mentorship and guided projects, you’ll be ready to apply for data science jobs in under 12 months.

Eligibility

• Open to graduates from any stream
• No prior coding or work experience needed
• Logical thinking and willingness to learn is key

Who Should Join?

• Freshers and college students
• Working professionals seeking a career shift
• Analysts & business professionals
• Entrepreneurs looking for data-driven growth

Qualities of a Good Data Scientist

• Curious and analytical mindset
• Strong communication & storytelling
• Domain understanding
• Proficiency in statistics and tools
• Lifelong learning attitude

Course Curriculum

1. The Data Ecosystem
   Data collection, cleaning, analysis & visualization.
   Project: Exploring Data Ecosystems
2. Data Analytics with Excel
   Excel basics, dashboarding, statistical analysis
   Projects: Excel & Business Analytics
3. Advanced Analytics with Power BI
   Data transformation, modeling, Power Query, DAX
   Projects: Power BI Dashboards
4. Data Visualization with Tableau
   Charts, storytelling, filters, analytics
   Projects: Insightful Tableau Visualizations
5. Data Management using SQL
   Joins, subqueries, schema design, advanced functions
   Projects: SQL-driven Data Projects
6. Python Programming
   Core programming, OOPs, functions, data structures
   Projects Python for Data Science
7. Data Analytics with Python
   Real world Analytics using SQL, Statistics, Pandas
   Projects; API, EDA and Statistical Analysis.
8. Numerical Programming & Visualization using Python
   Packages and Libraries; Command System, Data Visualization
   projects; Matplotlib, Seaborn. Git
9. Machine Learning Foundations
   Modeling with Mathematical Algorithms and Regression,
   Supervised/Unsupervised Learning Complex algorithms Visualization
   SVM and Neural Networks. Projects
10. Artificial Intelligence
    Applications of AI, Gen AI, LLM’s, Prompt Engg,
    Ultimate modeling and forecasting using GenAI in Analytics. Projects

Capstone Project: Real World Live Project Certification & Career Track

• Receive the Certificate in Data Science Mastery (DSM)
• Gain a portfolio of 25+ projects
• Includes 3-month internship with placement support
• Resume-building, LinkedIn makeover, & mock interviews