Data Science & Machine Learning Specialization
Course Overview
Data Science is one of the most in-demand career paths combining statistics, programming, machine learning, and AI. This specialization is designed to help you analyze data, build ML models, and work with real-world datasets, making you job-ready for data-driven roles.
You will learn both theory + practical implementation using industry tools.
What You Will Learn
Curriculum / Modules Breakdown
Python for Data Science
Python basics, NumPy, Pandas, Data manipulation, Working with datasets
Data Analysis & Statistics
Descriptive statistics, Probability basics, Data cleaning & preprocessing, Handling missing values & outliers
Data Visualization
Matplotlib, Seaborn, Data storytelling, Dashboards & insights
Machine Learning Fundamentals
Supervised vs Unsupervised learning, Regression models, Classification algorithms, Model training & testing
Advanced ML Models
Decision Trees, Random Forest, KNN, Support Vector Machines (SVM)
Deep Learning
Neural network basics, TensorFlow introduction, Deep learning models, Image & text data basics
Model Evaluation & Optimization
Accuracy, precision, recall, Overfitting & underfitting, Hyperparameter tuning
Real-Time Projects
Data analysis project, ML prediction project, End-to-end project workflow
Interview & Career Prep
Resume building, Real interview questions, Project explanation, Mock interviews
Tools & Technologies Covered
Python
NumPy
Pandas
Matplotlib
Seaborn
Scikit-learn
TensorFlow
Jupyter Notebook
Who Should Join This Course
Freshers & Students
BSc/BTech/MCA/MBA students and recent graduates
Career Switchers
Working professionals switching to Data Science/AI
Python Learners
Python developers looking to enter Data Science
Aspiring Data Scientists
Anyone targeting Data Scientist or ML Engineer roles
Career Opportunities After Course
Data Analyst
Analyze and interpret complex data to drive business decisions
Data Scientist
Build predictive models and extract insights from large datasets
Machine Learning Engineer
Design and implement ML systems and algorithms
AI Engineer
Develop AI-powered applications and solutions
Business Analyst
Use data analysis to improve business processes and strategies
Industries Hiring Data Science Professionals:
- IT & Software Companies
- Finance & Banking
- Healthcare
- E-commerce
- Product-based companies
- Consulting Firms
- Research Organizations
Placement Support
Start Your Career in Data Science & AI 🚀
Join our Data Science & ML Specialization and become job-ready with real-world skills. Transform your career with the most in-demand skills of the decade.
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