Top 8 DataCamp Free Courses – Start LearningSeptember 20, 2021 2021-10-04 7:19
Top 8 DataCamp Free Courses – Start Learning
Top 8 DataCamp Free Courses – Start Learning
Find out the top 8 DataCamp Free Courses that you can start learning right away without having to spend a buck or for giving the platform a trial run.
What is DataCamp?
DataCamp is a data science e-learning platform for students to learn data science using Python programming or R programming.
The platform offers a large range of courses targeted towards data science enthusiasts and aspirants. In this article, you will find the top 8 free courses that DataCamp offers.
1. Introduction to Python DataCamp Free Course – Course Link
Python is a general-purpose programming language that is becoming ever more popular for data science. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge. Unlike other Python tutorials, this course focuses on Python specifically for data science.
The Introduction to Python course helps you master the basics of data analysis in Python and thus, the course is perfect for beginners looking to take the first step in learning Python for Data Science.
In this course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses.
2. Introduction to R DataCamp Free Course – Course Link
Oracle estimated over 2 million R users worldwide in 2012, cementing R as a leading programming language in statistics and data science. Every year, the number of R users grows by about 40%, and an increasing number of organizations are using it in their day-to-day activities.
In Introduction to R, you will master the basics of this widely used open-source language, including factors, lists, and data frames. With the knowledge gained in this course, you will be ready to undertake your first very own data analysis.
Click here to enroll in the course: Start learning Introduction to R today!
3. Introduction to SQL DataCamp Free Course – Course Link
The role of a data scientist is to turn raw data into actionable insights. Much of the world’s raw data—from electronic medical records to customer transaction histories—lives in organized collections of tables called relational databases. To be an effective data scientist, you must know how to wrangle and extract data from these databases using a language called SQL.
This course teaches syntax in SQL shared by many types of databases, such as PostgreSQL, MySQL, SQL Server, and Oracle. This course teaches you everything you need to know to begin working with databases today!
Click here to enroll in the course: Start learning Introduction to SQL today!
4. Introduction to Deep Learning in Python DataCamp Free Course – Course Link
Deep learning is the machine learning technique behind the most exciting capabilities in diverse areas like robotics, natural language processing, image recognition, and artificial intelligence, including the famous AlphaGo.
In this course, you’ll gain hands-on, practical knowledge of how to use deep learning with Keras 2.0, the latest version of a cutting-edge library for deep learning in Python.
Click here to enroll in the course: Start learning Introduction to Deep Learning in Python today!
5. Data Manipulation with pandas DataCamp Free Course – Course Link
pandas is the world’s most popular Python library, used for everything from data manipulation to data analysis. In this course, you’ll learn how to manipulate DataFrames, as you extract, filter, and transform real-world datasets for analysis.
Using pandas you’ll explore all the core data science concepts. Using real-world data, including Walmart sales figures and global temperature time series, you’ll learn how to import, clean, calculate statistics, and create visualizations—using pandas to add to the power of Python!
Click here to enroll in the course: Start learning Data Manipulation with pandas today!
6. Introduction to the Tidyverse DataCamp Free Course – Course Link
This is an introduction to the programming language R, focused on a powerful set of tools known as the Tidyverse. You’ll learn the intertwined processes of data manipulation and visualization using the tools dplyr and ggplot2.
You’ll learn to manipulate data by filtering, sorting, and summarizing a real dataset of historical country data in order to answer exploratory questions.
You’ll then learn to turn this processed data into informative line plots, bar plots, histograms, and more with the ggplot2 package. You’ll get a taste of the value of exploratory data analysis and the power of Tidyverse tools.
Click here to enroll in the course: Start learning Introduction to the Tidyverse today!
7. Data Science for Everyone DataCamp Free Course – Course Link
What is data science, why is it so popular, and why did the Harvard Business Review hail it as the “sexiest job of the 21st century”?
In this non-technical course, you’ll be introduced to everything you were ever too afraid to ask about this fast-growing and exciting field, without needing to write a single line of code.
Through hands-on exercises, you’ll learn about the different data scientist roles, foundational topics like A/B testing, time series analysis, and machine learning, and how data scientists extract knowledge and insights from real-world data. So don’t be put off by the buzzwords. Start learning, gain skills in this hugely in-demand field, and discover why data science is for everyone!
Click here to enroll in the course: Start learning Data Science for Everyone today!
8. Introduction to Data Visualization with Matplotlib DataCamp Free Course – Course Link
Visualizing data in plots and figures exposes the underlying patterns in the data and provides insights. Good visualizations also help you communicate your data to others, and are useful to data analysts and other consumers of the data. In this course, you will learn how to use Matplotlib, a powerful Python data visualization library.
Matplotlib provides the building blocks to create rich visualizations of many different kinds of datasets. You will learn how to create visualizations for different kinds of data and how to customize, automate, and share these visualizations.
Click here to enroll in the course: Start learning Introduction to Data Visualization with Matplotlib today!
Which course are you interested in enrolling in? Let us know in the comments below.
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