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Everything in free, plus: Courses (350+) Acquire new skills by taking courses that combine short expert videos and hands-on coding exercises. Billed annually Subscribe. Posted: (5 days ago) All the essentials to grow your data skills.
I was wary and a bit apprehensive. Datacamp caught my attention immediately and I signed up for it.I wasn’t sure what to expect from Datacamp initially. The article went on to describe data analysts’ job descriptions, salaries, and core skills that will make one a great data scientist.I checked the box for more than half of that list and I was intrigued about being a Data Scientist, so I decided to do my research.Early 2018, I completed a Python beginner’s course using a PDF I found online, but it had nothing on data science.I went back online to do more research and stumbled on both Datacamp and Dataquest. With so many stuck at home and.Late 2017 I stumbled on an article called data science the ‘Sexiest Job of the 21st century’.
As a beginner, I get to use practice right there on the page, focusing on building my skills first without worrying about setting up anything.Since Datacamp’s main targets are data scientists and data science career tracks, the courses are focused on R, Python, and SQL, with extended courses on Excel, Tableau, Scala, and Git.Datacamp’s courses are massive. But the more time you take, the more money you spend, especially if you make monthly subscriptions.One of Datacamp’s strongest suits and that which makes it stand out from other platforms is its effective blend of exercises, videos, online interactive coding console and shell, quizzes, practices, and projects.The coding console with exercises was one of my delights with the platform. You work on them at your own rate. Is a MOOC (Massive Open Online Courses) company founded in 2014 by three Belgian data scientists, Jonathan Cornelissen, Dieter De Mesmaeker, and Martjin Theuwissen.It is an online teaching platform strictly for Data Science and Data Analysis.The platform is an interactive, active, engaging one that provides resources for data science to (aspiring) data scientists at all levels – beginners, intermediate and advanced.The courses are also self-paced. Why I am writing a Datacamp reviewAs someone with inside knowledge of Datacamp, I know I am suitable to give a detailed review of what to expect with Datacamp.I’d like to help others understand the platform, how it works, what it offers, and if you should go ahead and pay for the courses or not.A brief introduction to Datacamp and how it works What is Datacamp?Datacamp Inc. The courses were streamlined to meet my needs as a beginner.I couldn’t do much my first time on Datacamp since I had only one free chapter (I used the free plan which was limited to one free chapter), but it gave an idea of how Datacamp works and I knew I was going to come back.Since then, I have completed two more Python tracks and an SQL track. Now, let’s know that why I am writing this Datacamp Review.
Learn, Workspace and Certification LearnLearn is the default section. Depending on what you want from Datacamp, you could move from one section to another. How Datacamp worksAs a new user, when you first try to access Datacamp’s official website URL (datacamp.com), it displays a user login/sign-up page.From the image above, you see the dashboard area for learners.We will look in detail at the links in the sidebar menu, which is My Progress, career tracks, bookmarks, etc, what they mean to the user, and how they are incorporated into the learning path.The top menu holds the different sections of Datacamp, namely Learn, Workspace, and Certification, each with its own dashboard and role.These sections are not expected to be used consecutively.
What are career services in Datacamp?This service is a branch of Datacamp that helps data scientists and users of the platform in careers.The career services team are career experts, and career coaches guides. As of 2018 when I started using Datacamp, this wasn’t there.With Workspace, data analysts can access relevant data online, collaborate easily with each other, and have inbuilt quality control.Getting certified by Datacamp allows you access to their career services. They noted the lack of a workspace with infrastructural tools and environment readily available.They also noticed that version control, collaborative tools, deployment of data and dashboards are in favor of Software Engineers and not intuitive of data analysis.Workspace is one of their latest innovations to bridge that gap, and it is in its beta stage. WorkspaceDatacamp believes Data Scientists should work and collaborate seamlessly. Career tracks, skills tracks, assessments, practices, exercises, and videos are all available here.This section houses Datacamp’s initial and main scheme.
Career tracksDatacamp’s courses are divided into two main curriculum or paths. personalized job matching that links you to job opportunities and takes into consideration your professional experience, and personal ambition.I did mention that Datacamp has many unique features which could make the first time on the platform quite confusing.In this section, I will try to list out all of Datacamp’s features and how they work towards making you a satisfactory experience on Datacamp. career networking sessions with potential employers, and join workshops with other users on how to network and interview preparation strategies, personal branding – reviewing resumes and profiles on Linkedin, and step-by-step planning on how to accomplish the goals and get the job,
Datacamp Pricing Series In Python
Datacamp’s learning interfaceI did mention that Datacamp’s unique intermingle of visual lessons, exercises and practice all on the same page is one of the reasons I chose the platform.When you choose a Career track or Skills track and start actively learning, you will be shown an interface that looks like the image below.The interface is divided into four active components – an exercise module, an instructions section, an active coding console, and an Ipython shell. With over 50 tracks available to users – 17 in Python, 23 in R, 3 in Spreadsheet, 5 in SQL, and 2 in Theory.Just like career track, skills track also have courses outlined for each track and instructors to teach them.NB: Note that courses in the skills track can also be found in career tracks. E.g of skills tracks includes Time series in Python, Network analysis in R, etc.The platform offers skills tracks in 5 different technologies – R, Python, Spreadsheet, Tableau, and SQL. They are made up of 2-7 complementary courses.They are mostly for programmers seeking to get specific skill-sets, not a career path.
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