Best DataCamp Courses

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Best DataCamp Courses

After the great surge of this internet age, data science has become an indispensable field of these times. The need for data scientists is increasing worldwide. Companies pay a huge chunk of money for specialized data executives. One of the most popular online learning platforms which is precisely focused on skills in data science is DataCamp, a top-notch community to learn about data. The certificate has immense value and the courses offered on Python, SQL, R programming, big data, machine learning, deep learning, and applied finance are so educational and engaging.

The difference between Udemy, and Datacamp is that DataCamp provides interactive coding exercises which will challenge you constantly and make you a skilled data scientist. I highly recommend picking a course on DataCamp. Adding a cherry to the top, they also offer Black Friday / Cyber Monday and Holiday – Christmas Deals regularly for their highly enlightening courses.

1. Data Scientist with Python

Undoubtedly one of the most famous programming languages is python. This is completely a beginner-level course that requires no prior knowledge of data camping. Through python, you will be learning to import, clean, manipulate, and visualize data.

The advantage of taking this course is, you will get access to the top python libraries like pandas, NumPy, Matplotlib, and many more. With 6 projects and 23 modules, the course is a self-paced program that lasts 88hours. The lead instructor of the course is Hugo Bowne-Anderson one of the renowned Data Scientists at DataCamp.

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2. Python Programming Tutorial

This is not another python tutorial course. It gives a hands-on education on exploring the basic syntaxes, flow structures, and important data structures such as lists, tuples, and dictionaries.

The course is regularly updated which prolongs to 24hours of lecture modules. Getting an in-depth perspective on debugging code, Test Driven Development (TDD), and using fixtures and mocking is one of the finest features of this particular course. The course is instructed by Logan Thomas, who is one of the greatest Scientific Software Technical Trainer currently employed at Enthought.

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3. Data Scientist with R

R on Data science is one of the complex programming languages which particularly focuses on statistical analysis. If you want to gain skill in mastering vectors, matrices, and data frames, this is the right course for you. The course is a lengthy comprehensive 88hours self-paced program which is instructed by the co-founder of DataCamp himself- Jonathan Cornelissen.

The course does not prerequisite prior experiences in programming. The highlight of the course is it gives access to the profound R language packages like ggplot2 and tidyverse packages similar to dplyr and readr. So what are you waiting for, become an R Ninja.

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4. R Programmer

Right from scratch if you are willing to learn R programming, this is the right course. This beginner course gives a step-by-step approach on how to manipulate data, write efficient R code, and work with challenging data, including date and time data, text data, and web data using APIs.

It is an 11 hour program instructed by David Robinson, the Principal Data Scientist at Heap. He is a widely experienced data scientist who happens to be a data scientist at DataCamp and Stack Overflow too.

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5. Machine Learning Fundamentals with Python

Data Camp’s one of the popular courses, Machine Learning with Python Learning Path is a comprehensive course on revolutionary Machine learning. The course sticks to the basic fundamentals of machine learning.

The course is instructed by Mike Gelbart who is an instructor from the University of British Columbia. The Harvard graduate focuses on the linear classifiers in python like logistic regression and Svm in this particular course.

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6. Statistics Fundamentals with R

Statistics is one of the most important subjects that will collect and analyze data to draw conclusions. In the initial parts of the classes, you will learn to identify a problem and collect data relevant to it. Following this, you can start summarising real-world datasets by getting hands-on and working on a case study, and using logical regression for classification.

The introductory classes are given free, so it is advised to take introductory classes to have an understanding of this comprehensive course. The course also provides real case studies extracted from real-life scenarios in the world.

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7. Text Mining with R

TED KWARTLER the Adjunct Professor of the top ivy league universities-Harvard University offers this comprehensive course where he essentially focuses on text mining as well as sentiment analysis with R. this helps you to learn the positive and negative languages in the text that will eventually help to find effective common patterns.

It is a comprehensive pre-moduled course with 4 sections which can prolong up to 16hours. This course is highly recommended because you can learn to analyze and organize data particularly texts from books or articles or documents, you name it.

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8. Introduction to SQL

If you’re looking for a course that will help you to master the basics of querying tables in relational databases such as MySQL, SQL Server, and PostgreSQL, this is the right course for you.

It is an absolutely free course with 41 exercises with around one million students. 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 is highly recommended for a successful career as a data scientist.

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9. Data Visualization with R

If you are looking for a course that is not so lengthy and cuts right to the chase, this is what you’re looking for. The course is 12hours long with just 3 crisp sections. The course is instructed by Rick Scavetta who is the co-founder of Scavetta Academy.

If you pick this course, you will learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

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