Table of Contents

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**TLDR: Best Data Science Courses of this year:**

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

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

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

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

## At a Glance

๐ How do these courses measure up to each other? ๐

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 | โ | โ | โ | โ |

Certificate ofCompletion | โ | โ | โ | โ |

๐ฐ Cost | $21/month | $33.25/month | $22/month | $20/month |

## โจ Educative.io: Grokking Data Science

โ ๏ธ * Level: Intermediate*๐จโ๐ซ

**Lessons:**59๐

*Projects:**1*

๐

*โฒ๏ธ*

**Learning style:**Text-based

**Estimated completion time:***10 hours*

โจ๏ธ

**Embedded code editor:**Yes### ๐ Course Overview

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

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

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

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

And beyond.

### ๐ 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.

### ๐๏ธ Certificate of Completion

*Grokking Data Science* does include a certificate of completion.

### ๐ฐ 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*

๐ here. ๐

## โจ DataCamp: Introduction to Data Science in Python

โ ๏ธ * Level: Beginner*๐จโ๐ซ

**Lessons:**44๐

*Projects:**See description below*

๐น

*โฒ๏ธ*

**Learning style:**Text and video

**Estimated completion time:***4 hours*

โจ๏ธ

**Embedded code editor:**Yes### ๐ 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:

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

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

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

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

And more.

### ๐ 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.

### ๐๏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.

### ๐ฐ 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*

๐ here. ๐

## โจ Zero to Mastery: Complete Machine Learning and Data Science

โ ๏ธ * Level: Advanced Beginner*๐จโ๐ซ

**Lessons:**369๐

*Projects:**2*

๐น

*โฒ๏ธ*

**Learning style:**Video

**Estimated completion time:***43 Hours*

โจ๏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.

### ๐ Course Overview

With over 10 modules, you’ll learn:

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

๐ฃ **Data Science** – environment setup, frameworks, Conda, Jupyter Notebook

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

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

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

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

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

๐ฃ **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.

### ๐ Projects

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

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

### ๐๏ธCertificate of Completion

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

### ๐ฐ 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

๐ here. ๐

## โจ Codecademy Pro: Learn R

โ ๏ธ * Level: Beginner*๐จโ๐ซ

**Lessons:**16๐

*Projects:**10*

๐น

*โฒ๏ธ*

**Learning style:**Text and video

**Estimated completion time:***20 hours*

โจ๏ธ

**Embedded code editor:**Yes### ๐ Course Overview

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

๐ฃ **Data Frames** – organize and modify data using data frames and dplyr

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

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

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

๐ฃ **Joining Tables** – join tables using dplyr

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

๐ฃ **Variance and Standard Deviation** – quantify the spread of the dataset

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

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

### ๐ Projects

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

### ๐๏ธ Certificate of Completion

Certificates of completion are available for **Codecademy Pro** members.

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

### ๐ฐ 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:

โ all courses

โ real-world projects

โ community

โ support

And more.

Check out **Codecademy Pro’s** course *Learn R*

๐ here. ๐

## Best Data Science Courses of This Year: Conclusion

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

1๏ธโฃ Educative.io: Grokking Data Science

2๏ธโฃ DataCamp: Introduction to Data Science in Python

3๏ธโฃ Zero to Mastery: Complete Machine Learning and Data Science

4๏ธโฃ 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.

##### 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.