Data Science with Python Certification

Learn end-to-end data science using Python — data wrangling, visualization, statistics, machine learning, model deployment & real-world projects for data analyst / scientist roles

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What You'll Master

  • ✓ Python for Data Science (Pandas, NumPy, Matplotlib, Seaborn)
  • ✓ Exploratory Data Analysis (EDA) & Data Cleaning
  • ✓ Statistics & Probability for Data Science
  • ✓ Machine Learning Algorithms (Regression, Classification, Clustering)
  • ✓ Model Evaluation, Hyperparameter Tuning & Cross-Validation
  • ✓ SQL for Data Science & Big Data Basics
  • ✓ 12+ End-to-End Projects (Customer Churn, House Price Prediction, Sentiment Analysis...)

Course Snapshot

Duration: 5–6 months (Flexible batches)

Level: Beginner to Intermediate-Advanced

Format: Live + Capstone Projects

Certificate: Yes (W Tech Data Science with Python Certification + Portfolio)

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Curriculum Overview

Python basics refresh, NumPy arrays & operations, Pandas DataFrames, Data loading (CSV, Excel, JSON), Indexing & slicing, GroupBy, Merge & Join...

Handling missing values, Outlier detection, Data transformation, Feature engineering, Univariate & bivariate analysis, Correlation, Pandas profiling...

Matplotlib basics, Seaborn (pairplot, heatmap, violin, box), Plotly for interactive charts, Dashboard concepts with Streamlit intro...

Descriptive stats, Probability distributions, Hypothesis testing, p-value, Confidence intervals, A/B testing basics, Correlation vs Causation...

Supervised vs Unsupervised, Train-test split, Regression (Linear, Ridge, Lasso), Classification (Logistic, Decision Trees, Random Forest, SVM), Clustering (K-Means), Model evaluation metrics...

Ensemble methods (XGBoost, LightGBM), Feature selection, Hyperparameter tuning (GridSearch, RandomSearch), Model deployment (Flask/Streamlit), SQL for data extraction, 12+ end-to-end projects, Capstone project, Portfolio & job prep (Kaggle, GitHub)...

Ready to Launch Your Data Science Career?

Perfect for freshers, career switchers, analysts & professionals — Build real skills & portfolio for high-demand data roles!

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