Python for Data Analytics and Machine Learning Bootcamp

In this program Course, you'll the necessary Python programming skills to manipulate databases and perform various levels of evaluation at the data.
Duration: 5 Days
Hours: 25 Hours
Training Level: All Level
Virtual Class Id: 50171
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$349.00 $583.00
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About Python for Data Analytics Course:

Python for Data Analytics and Machine Learning Bootcamp enables you to take your data science skills into a variety of companies, helping them analyze data and make more informed business decisions. The course covers basic and advanced Python, data exploration, data visualization, descriptive analytics, and predictive analytics techniques with the Python language. You will learn about various Python packages like Numpy, Pandas, Scikit Learn, Seaborn. You will also get a chance to learn how to import and export data in using Python, data structures in Python, various statistical concepts, cluster analysis, Regression and classification. 

Python for Data Analytics Course Objective:

  • Install Python, Jupyter Notebook and learn about the various Python packages.
  • Gain an in-depth understanding of data structure used in Python and learn to import/export data in Python.
  • Define, understand and use the various functions in Python.
  • Learn to do data visualization using Python packages like matplotlib and seaborn.
  • Gain a basic understanding of various statistical concepts.
  • Understand and use linear regression model, and classification techniques in Machine Learning.
  • Learn and use clustering methods including k-means and hierarchical clustering.

Who is the Python for Data Analytics Course Target Audience?

  • This course is meant for all those students and professionals who are interested in using the Python's powerful ecosystem

What Basic Knowledge Required to Learn Python for Data Analytics?

  • There are no prerequisites

Curriculum
Total Duration: 25 Hours
Basic and Advanced Python

  • Introduction to Python  
    • Various datatypes in Python
    • Lists
    • Tuples
    • Dictionaries
    • Sets
  • Core programming concepts   
    • While Loops
    • For Loops
    • If Else statements
  • Functional Programming using Python   
    • How to create the functions
    • Benefits of using the functions
  • Text Processing using RE module   
    • Introduction to String operations and RE Module
  • Exception Handling in Python   
    • Understand the exception Handling using Python
    • Understand the TRY-EXCEPT-ELSE-FINALLY block

Data Manipulation and Analytics using Python

  • Objects in Python 
    • Matrix
    • Data frames
  • Visualizations in Python  
  • Packages in Python  
    • Numpy
    • Matplotlib
    • Pandas
  • Matrix operations  
  • Dataframes   
    • Joins and manipulations in Dataframes

Machine Learning

  • Data Pre-processing   
    • Missing Data
    • Categorical Data
    • Feature Scaling
    • Data Split (Test and Training Set)
  • Regression   
    • Simple Linear Regression
    • Multiple Linear Regression
  • Classification   
    • Logistic Regression
    • K Nearest Neighbours (K-NN)
    • Support Vector Machine (SVM)
    • Navie Bayes
    • Decision Tree Classification
    • Random Forest Classification
  • Clustering   
    • K Means
    • Hierarchical Clustering
  • Association Rule Mining   
    • Apriori 
  • Model selection and Boosting   
    • K Fold Technique
    • Grid Search