Course Modules
- What is Data Science?
- Real-world applications and career paths
- Data Science workflow and lifecycle
- Tools used in Data Science: Python, R, SQL, Jupyter Notebook
- Python basics, data types, and control structures
- Working with libraries: NumPy, Pandas, Matplotlib, Seaborn
- Data manipulation and transformations
- Exploratory Data Analysis (EDA)
- Data cleaning and wrangling
- Handling missing values and outliers
- Data scaling, encoding, and feature engineering
- Working with large datasets
- Descriptive statistics: mean, median, mode, variance
- Probability basics and distributions
- Hypothesis testing (t-test, chi-square)
- Correlation and regression fundamentals
- Charts & plots using Matplotlib & Seaborn
- Dashboards with Power BI / Tableau (optional)
- Communicating insights effectively
- Best practices for visual storytelling
- Introduction to ML and algorithms
- Linear & Logistic Regression
- Decision Trees, Random Forest, SVM
- Model evaluation: Accuracy, Precision, Recall, F1 Score
- Clustering: K-Means, Hierarchical Clustering
- Dimensionality Reduction (PCA)
- Association rules & anomaly detection
- Real-world case studies
- Introduction to Deep Learning
- Building neural networks with TensorFlow/Keras
- Image classification basics
- NLP introduction (text preprocessing & sentiment analysis)
- Fundamental SQL queries
- Joins, filtering, and aggregations
- Working with databases
- Data extraction for analysis
- Real-world data analytics project
- Building & evaluating ML models
- End-to-end Data Science pipeline implementation
- Presentation of insights & results
Is This For You?
- Beginners wanting to start a career in Data Science
- Students or working professionals aiming to upskill
- IT professionals entering AI/ML roles
- Anyone interested in data-driven decision-making
Why Learn Data Science?
- High-demand career globally
- High-paying job opportunities
- Learn practical, real-world skills used by data analysts & data scientists
- Build projects that strengthen your portfolio
Enroll / Request Batch
To join the course or request a new batch, please contact us. Our team will share schedule and availability.
Contact Details
SGM Computer Education
Email: info@sgmcomputereducation.com
Phone: +91 9742266359