Course Modules

Job-readiness curriculum designed for modern data challenges.

  • Python Programming: Data structures, NumPy, Pandas, Matplotlib, Seaborn
  • R Programming: Statistical modeling and visualization
  • SQL & Databases: Relational databases, Queries, Joins, Normalization
  • Data Visualization: Dashboards using Tableau and Power BI
  • Probability, distributions, and hypothesis testing
  • Regression analysis, correlation, and ANOVA
  • Exploratory Data Analysis (EDA)
  • Supervised Learning: Decision trees, random forests, SVMs
  • Unsupervised Learning: Clustering, PCA, dimensionality reduction
  • Model Evaluation: Accuracy, precision, recall, F1-score
  • Deep Learning: Neural networks, CNNs, RNNs
  • Natural Language Processing (NLP): Text mining, sentiment analysis
  • Big Data Tools: Hadoop, Spark basics
  • Cloud Integration: AWS/GCP for data pipelines
  • Real-world projects (Finance, Healthcare, E-commerce datasets)
  • Resume building and interview preparation
  • Placement assistance and employer introductions

Why Join SGM for Data Science?

  • Practical Approach: Focused on real-world application rather than just theory.
  • Job Ready: Curriculum designed specifically for current IT industry demands.
  • Advanced Tech: Hands-on training on Deep Learning and Big Data tools.