250+ Exercises - Data Science Bootcamp in Python

250+ Exercises – Data Science Bootcamp in Python

How To Get This Course For Free ? 

  1. Click On Enroll Now.
  2. Now You Go Direct Udemy Official Website.
  3. Than Log in And Sign Up In Udemy Website.
  4. Now Click On Enroll Now.
  5. Last Finally You Get This Course Absolutely Free.
  6. You Get Message Congratulation You Enroll This Course.
What you’ll learn:
  • solve over 250 exercises in data science in Python
  • deal with real programming problems
  • deal with real problems in data science
  • work with libraries numpy, pandas, seaborn, plotly, scikit-learn, opencv, tensorflow
  • work with documentation
  • guaranteed instructor support
Description:

PYTHON DEVELOPER:

  • 200+ Exercises – Programming in Python – from A to Z
  • 210+ Exercises – Python Standard Libraries – from A to Z
  • 150+ Exercises – Object Oriented Programming in Python – OOP
  • 150+ Exercises – Data Structures in Python – Hands-On
  • 100+ Exercises – Advanced Python Programming
  • 100+ Exercises – Unit tests in Python – unittest framework
  • 100+ Exercises – Python Programming – Data Science – NumPy
  • 100+ Exercises – Python Programming – Data Science – Pandas
  • 100+ Exercises – Python – Data Science – scikit-learn
  • 250+ Exercises – Data Science Bootcamp in Python
  • 110+ Exercises – Python + SQL (sqlite3) – SQLite Databases
  • 250+ Questions – Job Interview – Python Developer

SQL DEVELOPER:

  • SQL Bootcamp – Hands-On Exercises – SQLite – Part I
  • SQL Bootcamp – Hands-On Exercises – SQLite – Part II
  • 110+ Exercises – Python + SQL (sqlite3) – SQLite Databases
  • 200+ Questions – Job Interview – SQL Developer

JOB INTERVIEW SERIES:

  • 250+ Questions – Job Interview – Python Developer
  • 200+ Questions – Job Interview – SQL Developer
  • 200+ Questions – Job Interview – Software Developer – Git
  • 200+ Questions – Job Interview – Data Scientist

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COURSE DESCRIPTION

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The course consists of 250 exercises (exercises + solutions) in data science with Python.

Packages that you will use in the exercises:

  • numpy
  • pandas
  • seaborn
  • plotly
  • scikit-learn
  • opencv
  • tensorflow

Some topics you will find in the exercises:

  • working with numpy arrays
  • working with matrices
  • random numbers
  • normal distribution
  • image as a numpy array
  • working with polynomials
  • working with dates
  • dealing with missing values
  • working with pandas Series and DataFrames
  • reading/writing files
  • working with stock market data
  • creating visualizations using seaborn and plotly
  • preparing data to the machine learning models
  • feature extraction
  • splitting data into train and test sets
  • solving systems of equations
  • building regression and classification models
  • working with neural networks – TensorFlow and Keras
Who this course is for:
  • everyone who wants to learn by doing
  • everyone who wants to improve their programming skills in Python
  • people who are preparing for interviews
  • people interested in data science
  • data scientists
  • data analytics
  • machine learning engineers

Enroll Now -:

Free 12800 100% off

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