• Post category:StudyBullet-5
  • Reading time:11 mins read


What you will 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

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RECOMMENDED LEARNING PATH

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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

  • working with computer vision – OpenCV

This is a great test for people who are learning the Python language and are looking for new challenges. The course is designed for people who already have basic knowledge in Python and knowledge about data science libraries. Exercises are also a good test before the interview. Many popular topics were covered in this course.

Don’t hesitate and take the challenge today!

English
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Content

Configuration (optional)

Promo
Info
Google Colab + Google Drive
Google Colab + GitHub
Google Colab – Intro
Anaconda installation – Windows 10
Introduction to Spyder
Anaconda installation – Linux

Tips

A few words from the author
Tip

—–NUMPY—–

Intro

001-010 Exercises

Exercises
Exercises + Solutions

011-020 Exercises

Exercises
Exercises + Solutions

021-030 Exercises

Exercises
Exercises + Solutions

031-040 Exercises

Exercises
Exercises + Solutions

041-050 Exercises

Exercises
Exercises + Solutions

051-060 Exercises

Exercises
Exercises + Solutions

061-070 Exercises

Exercises
Exercises + Solutions

071-080 Exercises

Exercises
Exercises + Solutions

081-090 Exercises

Exercises
Exercises + Solutions

091-100 Exercises

Exercises
Exercises + Solutions

—–PANDAS—–

Intro

101-110 Exercises

Exercises
Exercises + Solutions

111-120 Exercises

Exercises
Exercises + Solutions

121-130 Exercises

Exercises
Exercises + Solutions

131-140 Exercises

Exercises
Exercises + Solutions

141-150 Exercises

Exercises
Exercises + Solutions

151-160 Exercises

Exercises
Exercises + Solutions

161-170 Exercises

Exercises
Exercises + Solutions

171-180 Exercises

Exercises
Exercises + Solutions

181-190 Exercises

Exercises
Exercises + Solutions

191-200 Exercises

Exercises
Exercises + Solutions

—–SUMMARY—–

Intro

201-210 Exercises

Exercises
Exercises + Solutions

211-220 Exercises

Exercises
Exercises + Solutions

221-230 Exercises

Exercises
Exercises + Solutions

231-240 Exercises

Exercises
Exercises + Solutions

241-250 Exercises

Exercises
Exercises + Solutions