Best datas science courses in yellow with platform list and pink background

4 Best Data Science Courses of 2020 [Educative, DataCamp, Zero to Mastery, Codecademy]

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TLDR: Best Data Science Courses of 2020:

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

💥 DataCamp: Introduction to Data Science in Python – learn basic Python syntax and popular data science modules Matplotlib and pandas

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

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

At a Glance

📐 How do these courses measure up to each other? 📐

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 Editor
Certificate of
Completion
💰 Cost$21/month$33.25/month$22/month$20/month

✨ Educative.io: Grokking Data Science

⚠️ Level: Intermediate
👨‍🏫 Lessons: 59
📂 Projects: 1
📚 Learning style: Text-based
⏲️ Estimated completion time: 10 hours
⌨️ Embedded code editor: Yes

🎓 Course Overview

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

🟣 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.

🟣 Fundamentals of Statistics – statistical features, types of distributions, probability statistics

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

And beyond.

📈 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.

🎖️ Certificate of Completion

Grokking Data Science does include a certificate of completion.

💰 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
👉 here. 👈

✨ DataCamp: Introduction to Data Science in Python

⚠️ Level: Beginner
👨‍🏫 Lessons: 44
📂 Projects: See description below
📹 Learning style: Text and video
⏲️ Estimated completion time: 4 hours
⌨️ Embedded code editor: Yes

🎓 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:

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

🟣 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.

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

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

And more.

📈 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.

🎖️ 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.

💰 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
👉 here. 👈

✨ Zero to Mastery: Complete Machine Learning and Data Science

⚠️ Level: Advanced Beginner
👨‍🏫 Lessons: 369
📂 Projects: 2
📹 Learning style: Video
⏲️ Estimated completion time: 43 Hours
⌨️ 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.

🎓 Course Overview

With over 10 modules, you’ll learn:

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

🟣 Data Science – environment setup, frameworks, Conda, Jupyter Notebook

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

🟣 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.

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

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

🟣 Data Engineering – database types, OLTP, Apache Spark and Apache Flink

🟣 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.

📈 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.

🎖️Certificate of Completion

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

💰 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
👉 here. 👈

✨ Codecademy Pro: Learn R

⚠️ Level: Beginner
👨‍🏫 Lessons: 16
📂 Projects: 10
📹 Learning style: Text and video
⏲️ Estimated completion time: 20 hours
⌨️ Embedded code editor: Yes

🎓 Course Overview

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

🟣 Data Frames – organize and modify data using data frames and dplyr

🟣 Data Cleaning – prepare data for analysis using dplyr and tidyr

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

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

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

🟣 Joining Tables – join tables using dplyr

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

🟣 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.

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

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

📈 Projects

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

🎖️ Certificate of Completion

Certificates of completion are available for Codecademy Pro members.

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

💰 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:

✅ all courses

✅ real-world projects

✅ community

✅ support

And more.

Check out Codecademy’s course Learn R
👉 here. 👈

Best Data Science Courses of 2020: Conclusion

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

1️⃣ Educative.io: Grokking Data Science

2️⃣ DataCamp: Introduction to Data Science in Python

3️⃣ Zero to Mastery: Complete Machine Learning and Data Science

4️⃣ 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.