Python Data Science: 4-Day Intensive Training

 

Python Data Science: 4-Day Intensive Training

Overview

Elevate your data science skills with our 4-day intensive training on Python Data Science, hosted by Purnama Academy. This course is designed for professionals and enthusiasts looking to leverage Python for data analysis, visualization, and machine learning.

Our training is delivered by certified experts in Python and data science, offering a hands-on approach to learning. Participants will gain practical experience in using Python libraries and tools to analyze data, build models, and derive actionable insights.

Training Details

• Duration: 4 Days
• Time: 09:00 AM - 04:00 PM (Each Day)
• Methods:
  • Public Offline Training
  • Inhouse Training
  • Online via Zoom
• Contact: For more information and registration, please contact our sales team via WhatsApp at 0838-0838-0001.

Course Syllabus

Day 1: Introduction to Python for Data Science

• Morning Session:
  • Overview of Python and its Role in Data Science
  • Setting Up Python Environment (Anaconda, Jupyter Notebook)
  • Basic Python Programming Concepts
  • Introduction to Python Libraries for Data Science (Pandas, NumPy)
• Afternoon Session:
  • Data Import and Export
  • Data Cleaning and Preparation
  • Hands-on Exercise: Working with Data Using Pandas and NumPy

Day 2: Data Visualization with Python

• Morning Session:
  • Introduction to Data Visualization Libraries (Matplotlib, Seaborn)
  • Creating Basic Plots and Charts
  • Customizing Visualizations
• Afternoon Session:
  • Advanced Visualization Techniques (Subplots, Heatmaps, Pair Plots)
  • Interactive Visualizations with Plotly
  • Hands-on Exercise: Creating and Customizing Visualizations

Day 3: Data Analysis and Statistical Methods

• Morning Session:
  • Exploratory Data Analysis (EDA)
  • Statistical Analysis Techniques (Descriptive Statistics, Hypothesis Testing)
  • Introduction to Machine Learning Concepts
• Afternoon Session:
  • Building and Evaluating Predictive Models (Linear Regression, Classification)
  • Using Scikit-Learn for Model Building
  • Hands-on Exercise: Implementing Data Analysis and Building Models

Day 4: Advanced Topics and Final Project

• Morning Session:
  • Introduction to Advanced Data Science Techniques (Clustering, Dimensionality Reduction)
  • Using Jupyter Notebooks for Data Science Workflows
  • Integrating Python with Databases and Big Data Tools
• Afternoon Session:
  • Final Project: Applying Python to a Real-World Data Science Problem
  • Course Review and Q&A
  • Best Practices and Further Learning Resources

Registration and Contact

To register for the training or for more information, please contact our sales team via WhatsApp at 0838-0838-0001. We provide flexible training options to accommodate your needs, whether you prefer public offline sessions, in-house training, or online via Zoom.

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