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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 Science | DataCamp: Introduction to Data Science in Python | Zero to Mastery: Complete Machine Learning and Data Science | Codecademy Pro: Learn R | |

Level | Beginner | Beginner | Advanced Beginner | Beginner |

Learning Style | Text | Text and Video | Video | Text and Video |

CompletionTime | 10 Hours | 4 Hours | 43 Hours | 20 hours |

Lessons | 59 | 44 | 369 | 16 |

Projects | 1 | See description below | 2 | 10 |

Embedded Code Editor | ✅ | ✅ | ❌ | ✅ |

Certificate ofCompletion | ✅ | ✅ | ✅ | ✅ |

💰 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

🟣 **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.

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

🟣 **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.

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

🟣 **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*:

- Supervised Learning (Classification)
- Supervised Learning (Time Series Data)

### 🎖️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

🟣 **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

🟣 **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

## 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.

**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.

**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.

**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.

**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.