250+ Exercises - Data Science Bootcamp in Python - Improve your Python programming skills and solve over 250 data science exercises!
Preview 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
Requirements
- completed course '200+ Exercises - Programming in Python - from A to Z'
- completed course '210+ Exercises - Python Standard Libraries - from A to Z'
- completed course '150+ Exercises - Object Oriented Programming in Python - OOP'
- completed course '100+ Exercises - Python Programming - Data Science - NumPy'
- completed course '100+ Exercises - Python Programming - Data Science - Pandas'
- completed course '100+ Exercises - Python - Data Science - scikit-learn'
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!
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