Data Science & Data Analytics Course
Master Data Science & Data Analytics
Build a successful career in Data Analytics and Data Science through a comprehensive, project-based training program. Learn Python, SQL, Power BI, Tableau, Machine Learning, Deep Learning, and Model Deployment while working on real-world projects and building a professional portfolio.
- Course Duration: 6 Months
- Mode: Live Online Classes
₹49999 /-
₹59999 /-
*Launch Price is for only First 35 Students
Course Highlights
- 6-Month Industry-Focused Curriculum
- Live Instructor-Led Online Classes
- Beginner-Friendly Learning Path
- 6+ Portfolio-Ready Projects
- Industry-Grade Capstone Project
- Hands-on Practical Assignments
- Expert Mentorship
- Resume & LinkedIn Building
- Mock Interviews & Placement Support
- Course Completion Certificate
Course Overview
The Data Science & Data Analytics Course is a comprehensive six-month program designed to help learners master the complete data lifecycle—from collecting and analyzing data to building predictive models and deploying machine learning applications.
You’ll begin with Python programming, statistics, and Excel before progressing to SQL, data wrangling, visualization, business intelligence, machine learning, deep learning, model deployment, and career preparation. Every module combines live instruction with practical assignments, portfolio projects, and mentor guidance to help you become industry-ready.
The curriculum concludes with a capstone project, GitHub portfolio development, resume optimization, mock interviews, and placement assistance.
What You'll Learn
Foundations
Python Programming, Data Structures, Statistics & Probability, Advanced Excel, Analytical Thinking
Data Wrangling & SQL
SQL Fundamentals, Advanced SQL, Data Cleaning with Pandas, Data Wrangling, Exploratory Data Analysis,
Data Visualization & Business Intelligence
Power BI, Tableau, Dashboard Design, Data Storytelling, KPI Reporting
Machine Learning
Regression, Classification, Clustering, PCA, Model Evaluation
Advanced Analytics
Hyperparameter Tuning, Ensemble Learning, Deep Learning Basics, NLP Fundamentals, Model Deployment using Streamlit & Flask
Capstone & Career Preparation
End-to-End Capstone Project, GitHub Portfolio, Resume Building, LinkedIn Optimization, Mock Interviews, Placement Preparation
Our Learning Methodology
Live Interactive Classes
Learn directly from experienced instructors through engaging live sessions.
Practical Hands-on Labs
Practice every concept with guided coding exercises and business case studies.
Monthly Projects
Apply your learning through project-based assignments after every major module.
One-on-One Mentorship
Receive personalized guidance, doubt-solving support, and career advice.
Career Preparation
Build your resume, GitHub portfolio, LinkedIn profile, and prepare for interviews with expert mentors.
FAQ
Frequently Asked Questions
Yes. The curriculum begins with Python, statistics, and Excel before gradually introducing advanced topics like machine learning and deployment.
Yes. You'll complete multiple hands-on projects throughout the program along with a final industry-grade capstone project.
You'll gain practical experience with Python, SQL, Excel, Power BI, Tableau, Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Streamlit, Flask, Git, and Jupyter Notebook.
Yes. The final month includes resume building, LinkedIn optimization, mock interviews, and placement assistance to help you prepare for job opportunities.
Yes. Students who successfully complete the training, projects, and capstone will receive a Tech Nova Course Completion Certificate.