• 09899714317


Data Science with Python


  • 4 Months Duration
  • 1 on 1 Mentorship
  • Placement assistance
  • Real time projects
  • 24/7 Full support

Course Title: Data Science with Python

Module 1: Introduction to Data Science and Python

  • Overview of Data Science
  • Introduction to Python for Data Science
  • Setting Up Python Environment (Anaconda, Jupyter)

Module 2: Data Manipulation with Python

  • Introduction to NumPy and Pandas
  • Data Cleaning and Preprocessing
  • Working with DataFrame Operations
  • Handling Missing Data and Outliers

Module 3: Data Visualization with Matplotlib and Seaborn

  • Introduction to Data Visualization
  • Creating Plots and Charts with Matplotlib
  • Enhancing Visualizations with Seaborn

Module 4: Exploratory Data Analysis (EDA) with Python

  • Descriptive Statistics in Python
  • Data Distribution Analysis
  • Correlation and Heatmaps

Module 5: Introduction to Machine Learning with Scikit-Learn

  • Basics of Machine Learning with Python
  • Supervised Learning vs. Unsupervised Learning
  • Model Training, Testing, and Validation

Module 6: Regression and Classification with Scikit-Learn

  • Linear Regression
  • Logistic Regression
  • Decision Trees and Random Forests
  • Support Vector Machines

Module 7: Unsupervised Learning with Python

  • K-Means Clustering
  • Hierarchical Clustering
  • Principal Component Analysis (PCA)

Module 8: Introduction to Natural Language Processing (NLP) with NLTK

  • Working with Text Data in Python
  • Tokenization and Stop Words Removal
  • Sentiment Analysis with NLTK

Module 9: Introduction to Deep Learning with TensorFlow and Keras

  • Basics of Neural Networks
  • Building and Training Neural Networks with Keras
  • Convolutional Neural Networks (CNNs) for Image Classification

Module 10: Working with Real-world Datasets

  • Data Collection and APIs
  • Web Scraping with Beautiful Soup
  • Handling JSON and CSV Data

Module 11: Data Analysis with Pandas and SQL

  • Advanced Data Analysis with Pandas
  • Introduction to SQL for Data Analysis

Module 12: Data Visualization and Storytelling with Python

  • Advanced Data Visualization with Plotly
  • Creating Interactive Visualizations
  • Effective Data Storytelling

Module 13: Capstone Project

  • Applying Data Science Techniques to a Real-world Problem
  • End-to-end Data Analysis, Cleaning, Modeling, and Visualization
  • Presenting Project Results


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