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4 Best Data Science Courses of 2022 [Educative, DataCamp, Zero to Mastery, Codecademy]

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TLDR: Best Data Science Courses of this year:

๐Ÿ’ฅ Educative.io: Grokking Data Science – learn Python libraries like NumPy and pandas, machine learning basics and algorithms

๐Ÿ’ฅ DataCamp: Introduction to Data Science in Python – learn basic Python syntax and popular data science modules Matplotlib and pandas

๐Ÿ’ฅ Zero to Mastery: Complete Machine Learning and Data Science – learn data science, data analysis, machine learning, Python with Tensorflow and pandas

๐Ÿ’ฅ Codecademy Pro: Learn R – learn how to organize, modify and clean data frames, create data visualizations, statistics, hypothesis testing

At a Glance

๐Ÿ“ How do these courses measure up to each other? ๐Ÿ“

Educative.io: Grokking Data ScienceDataCamp: Introduction to Data Science in PythonZero to Mastery: Complete Machine Learning and Data ScienceCodecademy Pro: Learn R
LevelBeginnerBeginnerAdvanced BeginnerBeginner
Learning StyleTextText and VideoVideoText and Video
Completion
Time
10 Hours4 Hours43 Hours20 hours
Lessons594436916
Projects1See description below210
Embedded Code Editorโœ…โœ…โŒโœ…
Certificate of
Completion
โœ…โœ…โœ…โœ…
๐Ÿ’ฐ Cost$21/month$33.25/month$22/month$20/month

โœจ Educative.io: Grokking Data Science

โš ๏ธ Level: Intermediate
๐Ÿ‘จโ€๐Ÿซ Lessons: 59
๐Ÿ“‚ Projects: 1
๐Ÿ“š Learning style: Text-based
โฒ๏ธ Estimated completion time: 10 hours
โŒจ๏ธ Embedded code editor: Yes

๐ŸŽ“ Course Overview

Grokking Data Science uses code snippets, playgrounds, challenges and quizzes to teach you:

๐ŸŸฃ Python Fundamentals for Data Science – NumPy basics, pandas core concepts, data visualization techniques

NumPy basics in the course Grokking Data Science on Educative.io. Text explanations are accompanied by code snippets, diagrams and playgrounds.

๐ŸŸฃ Fundamentals of Statistics – statistical features, types of distributions, probability statistics

๐ŸŸฃ Machine Learning 101 – types of machine learning algorithms, evaluating a model

And beyond.

๐Ÿ“ˆ Projects

In Grokking Data Science you’ll work on an end-to-end machine learning project: The Kaggle Challenge.

Data transformation code snippets from the Kaggle Challenge project in the courses Grokking Data Science on Educative.io.

It covers exploratory data analysis, data preprocessing and transformation, machine learning models and more.

๐ŸŽ–๏ธ Certificate of Completion

Grokking Data Science does include a certificate of completion.

๐Ÿ’ฐ Cost

You can get the Grokking Data Science course for $79.

Or you can get full access to Educative’s 185+ courses for about $21 per month.

Check out Educative’s course Grokking Data Science
๐Ÿ‘‰ here. ๐Ÿ‘ˆ

โœจ DataCamp: Introduction to Data Science in Python

โš ๏ธ Level: Beginner
๐Ÿ‘จโ€๐Ÿซ Lessons: 44
๐Ÿ“‚ Projects: See description below
๐Ÿ“น Learning style: Text and video
โฒ๏ธ Estimated completion time: 4 hours
โŒจ๏ธ Embedded code editor: Yes

๐ŸŽ“ Course Overview

With 4 hours of video, Introduction to Data Science in Python is short. But it’s still one of the best data science courses for beginners.

Using videos and interactive exercises, you’ll learn:

๐ŸŸฃ Getting Started in Python – creating variables, float and strings, correcting string and function errors, valid variable names

๐ŸŸฃ Loading Data in pandas – loading a DataFrame, correcting column selection errors, logical testing

Selecting columns video lecture in the course Introduction to Data Science in Python on DataCamp.

๐ŸŸฃ Plotting Data with matplotlib – adding text to plots, styling graphs, adding floating text, labels and legends

๐ŸŸฃ Different Types of Plots – making and modifying scatter plots, bar charts and histograms

And more.

๐Ÿ“ˆ Projects

While there are no projects in Introduction to Data Science in Python, there are over 85 projects on the DataCamp platform.

While there are no projects in the course Introduction to Data Science in Python, there are over 85 projects on DataCamp using R, SQL and Python.

And you can use the skills you’ve learned in this course to build many of the projects.

๐ŸŽ–๏ธ Certificate of Completion

DataCamp’s version of a certificate of completion is a Statement of Accomplishment.

You’ll get one for each course you complete.

๐Ÿ’ฐ Cost

You can get access to all of DataCamp’s 340+ courses for $25 per month.

But with a yearly subscription, you’ll also get to work on more than 85 projects, have priority support and more. A yearly subscription is $33.25 per month.

Check out DataCamp’s course Introduction to Data Science in Python
๐Ÿ‘‰ here. ๐Ÿ‘ˆ

โœจ Zero to Mastery: Complete Machine Learning and Data Science

โš ๏ธ Level: Advanced Beginner
๐Ÿ‘จโ€๐Ÿซ Lessons: 369
๐Ÿ“‚ Projects: 2
๐Ÿ“น Learning style: Video
โฒ๏ธ Estimated completion time: 43 Hours
โŒจ๏ธ Embedded code editor: No

Complete Machine Learning and Data Science is a massive course. And that’s why this is made our list of best data science courses.

๐ŸŽ“ Course Overview

With over 10 modules, you’ll learn:

๐ŸŸฃ Machine Learning 101 – types of machine learning, data, evaluation, modelling

๐ŸŸฃ Data Science – environment setup, frameworks, Conda, Jupyter Notebook

๐ŸŸฃ Pandas: Data Analysis – DataFrames and CSVs, data from URLs, manipulating data

๐ŸŸฃ NumPy – types and attributes, random seed, arrays and matrices, standard deviation and variance, comparison operators

Anatomy of a Numpy array video explanation in Zero to Mastery’s course Complete Machine Learning and Data Science.

๐ŸŸฃ Matplotlib: Plotting and Data Visualization – scatter and bar plots, subplots, plotting from pandas DataFrames

๐ŸŸฃ Scikit-learn: Creating Machine Learning Models – convert data to numbers, handling missing values, making predictions, evaluating a classification model

๐ŸŸฃ Data Engineering – database types, OLTP, Apache Spark and Apache Flink

๐ŸŸฃ Neural Networks – using a GPU, validation sets, preprocess images, turn data into batches, transform predictions to text

And much, much, MUCH more.

Each module contains multiple lessons to solidify specific concepts.

Plus, you’ll work on exercises, read reference materials and work on 2 projects.

๐Ÿ“ˆ Projects

There are 2 machine learning projects in Complete Machine Learning and Data Science:

  1. Supervised Learning (Classification)
  2. Supervised Learning (Time Series Data)
Machine learning classification project in Zero to Mastery’s Complete Data Science and Machine Learning course.

๐ŸŽ–๏ธCertificate of Completion

Zero to Mastery does offer a certificate of completion for every course.

๐Ÿ’ฐ Cost

You can get a monthly subscription to Zero to Mastery for $29 per month.

Or you can get a yearly subscription for $22 per month. And get some extra perks like the option to download courses.

Check out Zero to Mastery’s Complete Machine Learning and Data Science course
๐Ÿ‘‰ here. ๐Ÿ‘ˆ

โœจ Codecademy Pro: Learn R

โš ๏ธ Level: Beginner
๐Ÿ‘จโ€๐Ÿซ Lessons: 16
๐Ÿ“‚ Projects: 10
๐Ÿ“น Learning style: Text and video
โฒ๏ธ Estimated completion time: 20 hours
โŒจ๏ธ Embedded code editor: Yes

๐ŸŽ“ Course Overview

You’ll learn R fundamentals in the course Learn R:

๐ŸŸฃ Data Frames – organize and modify data using data frames and dplyr

๐ŸŸฃ Data Cleaning – prepare data for analysis using dplyr and tidyr

๐ŸŸฃ Fundamentals of Data Visualization with ggplot2 – create visualizations using the package ggplot2

Fundamentals of data visualization in the course Learn R on Codecademy Pro.

๐ŸŸฃ Aggregates – basics of aggregate functions with dplyr, calculate quantities that describe groups of data

๐ŸŸฃ Joining Tables – join tables using dplyr

๐ŸŸฃ Mean, Median and Mode – manually calculate the mean, median, and mode of real-world dataset

๐ŸŸฃ Variance and Standard Deviation – quantify the spread of the dataset

Variance lesson with coding exercise in the course Learn R on Codecademy Pro. With the lesson, exercise instructions and embedded code editor all on the same page, it’s easy to reference all materials.

๐ŸŸฃ Quartiles, Quantiles, and Interquartile Range – calculate these statistics that describe spread of data

๐ŸŸฃ Hypothesis Testing – statistics used to run hypothesis tests, t-tests, compare distributions

๐Ÿ“ˆ Projects

Learn R contains multiple projects to cover the core concepts of R.

๐ŸŽ–๏ธ Certificate of Completion

Certificates of completion are available for Codecademy Pro members.

You’ll get a personalized certificate for each course your finish.

๐Ÿ’ฐ Cost

You can sign up for Codecademy Pro for about $20 per month.

And with this subscription you’ll get full access to the platform including:

โœ… all courses

โœ… real-world projects

โœ… community

โœ… support

And more.

Check out Codecademy Pro’s course Learn R
๐Ÿ‘‰ here. ๐Ÿ‘ˆ

Best Data Science Courses of This Year: Conclusion

We think the best data science courses for beginner and intermediate learners are:

1๏ธโƒฃ Educative.io: Grokking Data Science

2๏ธโƒฃ DataCamp: Introduction to Data Science in Python

3๏ธโƒฃ Zero to Mastery: Complete Machine Learning and Data Science

4๏ธโƒฃ Codecademy Pro: Learn R


Ready to learn more about data science?

DataCamp has almost 350 data science-related courses. But are they any good? What are their projects like? And what’s the layout like? We answer all this and more in our full DataCamp review.


  1. What are the best data science courses?

    If you're a beginner looking to learn data science, we recommend 4 courses to get you started. 1.) Educative.io: Grokking Data Science 2.) DataCamp: Introduction to Data Science in Python 3.) Zero to Mastery: Complete Machine Learning and Data Science 4.) Codecademy Pro: Learn R.

  2. What is the best DataCamp data science course?

    If you're new to data science, we recommend the DataCamp course Introduction to Data Science in Python. You'll learn the fundamentals of Python, a popular programming language used in data science. This data science courses covers basic Python syntax and popular data science modules like pandas and matplotlib.

  3. Where can I learn R from scratch?

    You can learn R in the Codecademy course Learn R. Geared towards beginners, you'll learn the fundamentals of the programming language R. Used for statistical computing and graphics, R is commonly used in data science careers.

  4. Is there a data science Codecademy course?

    Yes, Codecademy has multiple data science courses. However if you're just getting started with data science, we recommend the course Learn R. In this course, you'll learn the fundamentals of R programming. R is used for statistical computing and graphics commonly found in data science.