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250+ Exercises - Data Science Bootcamp in Python

Improve your Python programming skills and solve over 250 data science exercises!

e-smartdata

Summary

Price
£12 inc VAT
Study method
Online, On Demand What's this?
Duration
0.9 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed courses certificate of completion - Free
Additional info
  • Tutor is available to students
2 students purchased this course

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Overview

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

Certificates

Reed courses certificate of completion

Digital certificate - Included

Will be downloadable when all lectures have been completed

Curriculum

31
sections
56
lectures
0h 56m
total

Course media

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

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DESCRIPTION

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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 is this course 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

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'

Career path

  • Data Scientist/Data Analyst/Machine Learning Engineer

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Legal information

This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

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An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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