DataCamp Review

Overview


Locations
Online
Disciplines Offered
Data Analyst, Data Engineer, Data Scientist, Machine Learning Scientist, Python Programmer, Quantitative Analyst, R Programmer, SQL Server Developer, Statistician
Payment Options
Upfront

Datacamp is an online learning platform with hundreds of courses and 14 career-track certificate programs. Courses cover specific skills, including SQL fundamentals, marketing analytics, statistics, machine learning, and data visualization. Even the free subscription allows users to access some courses and create a professional profile.

The website states that over 10 million users from over 180 countries are using the platform. They note that 80% of Fortune 1000 companies use DataCamp to upskill their teams. Datacamp is trusted by top companies, including Google, PayPal, eBay, Microsoft, Uber, and Deloitte.

Datacamp Courses

With 14 online career track certificates, including four data analytics tracks, Datacamp has broad bootcamp offerings. Courses require no previous coding experience. Students can learn from Datacamp instructors, teachers from Duke University, Caltech University, Cornell University, and professionals working at leading tech companies.

Data Analyst in Power BI

  • Cost: $39 per month or $300 billed annually
  • Learning Format: Online
  • Time Commitment: Full Time, Part Time
  • Length: 18 courses, 51 hours

This data analysis course teaches students to import, clean, manipulate, analyze, and visualize data in Power BI. Students learn best practices for data through hands-on experiences with Power BI functionalities like DAX and Power Query. After completing half of this track, students receive a 50% discount code for the Microsoft PL-300 certification.

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Data Analyst with Python

  • Cost: $39 per month or $300 billed annually
  • Learning Format: Online
  • Time Commitment: Full Time, Part Time
  • Length: Nine courses, 36 hours

This course on data analysis with Python teaches critical skills for an aspiring data professional or researcher, including importing, cleaning, manipulating, and visualizing data.

Interactive exercises give students hands-on experience with popular Python libraries, including pandas, NumPy, and Seaborn. Students can gain confidence working with real-world data sets from companies like Walmart.

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Data Analyst with R

  • Cost: $39 per month or $300 billed annually
  • Learning Format: Online
  • Time Commitment: Full Time, Part Time
  • Length: Nine courses, 36 hours

Students in this data analysis track learn integral skills for a data professional or researcher: how to import, clean, manipulate, and visualize data in R. Students get hands-on experience with popular R packages, including ggplot2, dplyr, and readr.

Coursework includes building data manipulation and analysis skills while working with data on U.S. income and global food consumption.

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Data Analyst in SQL

  • Cost: $39 per month or $300 billed annually
  • Learning Format: Online
  • Time Commitment: Full Time, Part Time
  • Length: 11 courses, 39 hours

In the Datacamp SQL data analyst course, students learn the fundamentals of database design critical for high-performance applications. Topics covered include how to write basic SQL inquiries, join tables, and apply filters and sub-queries.

Students work with real-world datasets while learning to group and aggregate data, produce summary reports, and communicate insights to stakeholders.

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Data Engineer with Python

  • Cost: $39 per month or $300 billed annually
  • Learning Format: Online
  • Time Commitment: Full Time, Part Time
  • Length: 19 courses, 73 hours

In the Datacamp Python data engineer track, students learn to build effective data architecture, maintain large data systems, and streamline data processing. Students can gain experience with cloud and big data tools like AWS Bot, PySpark, Spark SQL, and MongoDB.

Course topics include building language skills by working with Shell, SQL, and Scala while creating a high-performance database.

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Data Scientist with Python

  • Cost: $39 per month or $300 billed annually
  • Learning Format: Online
  • Time Commitment: Full Time, Part Time
  • Length: 25 courses and six projects, 96 hours

The Datacamp Python data scientist course is a comprehensive program that builds Python skills across data science fields. Students learn to import, clean, visualize, and manipulate data.

Coursework includes working with real-world datasets to learn statistical and machine learning techniques used in hypothesis testing and predictive models. Learners gain experience working with Python libraries, including NumPy and Matplotlib.

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Data Scientist with R

  • Cost: $39 per month or $300 billed annually
  • Learning Format: Online
  • Time Commitment: Full Time, Part Time
  • Length: 24 courses, 95 hours

In the data scientist with R track, students can build the skills necessary to succeed as a data scientist, including importing, cleaning, manipulating, and visualizing data. Learners work with real-world datasets on statistical and machine learning techniques necessary to write functions and perform cluster analysis.

Coursework includes interactive exercises with popular R packages, including dplyr, readr, and ggplot2.

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Machine Learning Scientist with Python

  • Cost: $39 per month or $300 billed annually
  • Learning Format: Online
  • Time Commitment: Full Time, Part Time
  • Length: 23 courses, 93 hours

In the Datacamp Python machine learning scientist course, students have the opportunity to perform supervised, unsupervised, and deep learning while augmenting their Python skills. Students are introduced to natural language and image processing, along with popular libraries like Spark and Keras.

Coursework includes processing data for features, training models, assessing performance, and tuning parameters for better performance.

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Machine Learning Scientist with R

  • Cost: $39 per month or $300 billed annually
  • Learning Format: Online
  • Time Commitment: Full Time, Part Time
  • Length: 14 courses, 57 hours

In the machine learning scientist with R course, students augment R programming skills to perform supervised and unsupervised learning. Coursework includes processing data for modeling, training and visualizing models, and performance assessment. Students get an introduction to natural language processing, Bayesian statistics, and Spark.

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Python Programmer

  • Cost: $39 per month or $300 billed annually
  • Learning Format: Online
  • Time Commitment: Full Time, Part Time
  • Length: 15 courses, 59 hours

In the Python programmer course, students can build programming skills to develop software and perform advanced data analysis. Interactive exercises introduce learners to Python libraries, including pytest, NumPy, and pycodestyle for web development, data analysis, and task automation.

Coursework includes writing efficient Python code, functions and unit testing, and working with challenging data such as text and web data using API.

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Quantitative Analyst with R

  • Cost: $39 per month or $300 billed annually
  • Learning Format: Online
  • Time Commitment: Full Time, Part Time
  • Length: 15 courses, 65 hours

In quantitative analysis with R, students learn essential data structures such as lists and data frames and apply them to financial analysis. Students also learn to use mathematical models to evaluate asset prices. Coursework includes ensuring portfolios are risk-balanced and finding new trading opportunities.

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R Programmer

  • Cost: $39 per month or $300 billed annually
  • Learning Format: Online
  • Time Commitment: Full Time, Part Time
  • Length: 11 courses and three projects, 44 hours

In the R programmer course, students learn to write efficient R code, manipulate data and work with challenging data like date and time, text, and web data using APIs. Coursework includes writing functions and object-oriented programming.

Students gain experience working with R libraries like devtools, testthat, and rvest for web development, data analysis, and task automation.

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SQL Server Developer

  • Cost: $39 per month or $300 billed annually
  • Learning Format: Online
  • Time Commitment: Full Time, Part Time
  • Length: 10 courses, 41 hours

The Datacamp SQL server developer course prepares learners with the basics of database design and SQL types, including relations databases in SQL. Students learn to improve query performance, handle errors, and manage transactions. Coursework includes writing queries, functions, and stored procedures.

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Statistician with R

  • Cost: $39 per month or $300 billed annually
  • Learning Format: Online
  • Time Commitment: Full Time, Part Time
  • Length: 13 courses, 52 hours

In the statistician with R course, learners have the opportunity to help solve real-world problems in engineering, science, and business. Coursework includes statistical methods for modeling and exploring data through probability, sampling, and regression. Students learn to draw conclusions from various datasets and effectively interpret and report data findings.

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Datacamp Admissions Process

Anyone can sign up for Datacamp. There are no degree requirements, and there is no admissions process. No previous coding experience is required. Users only need to log in with an email address or through Google, LinkedIn, or Facebook and choose between a free or paid subscription.

The free subscription gives students access to six free courses and the first chapter of every course. With a paid individual subscription, Datacamp costs $39 per month or $300 billed annually. There are also team and enterprise subscriptions available.

Datacamp Payment Options

Upfront: For individual subscribers, Datacamp only accepts upfront payment via credit card or Paypal.

Datacamp Student Outcomes

Datacamp states that 80% of Fortune 1000 companies use DataCamp for their teams. Datacamp is trusted by top companies, including Deloitte, eBay, Google, Microsoft, PayPal, and Uber.

Datacamp is not a member of the Council on Integrity in Results Reporting. Students should be wary of bootcamp-provided outcomes and carefully read all outcome reports. Students can contact Datacamp for more information on how they collect their data.

Frequently Asked Questions About Datacamp Coding Bootcamp

What is Datacamp?

Datacamp is an online technology education platform that boasts over 10 million students in 180 countries. The mission of Datacamp is to "democratize data skills for everyone." They consider data education a basic human right.

According to their website, this includes over 2,500 companies and 3,000 academic organizations. They advertise as a provider of ongoing tech education to 80% of Fortune 1000 companies. Companies that use Datacamp include Google, Paypal, eBay, Uber, Microsoft, and Deloitte.

Is Datacamp worth it?

For learners who can work through Datacamp's career training, Datacamp may be worth it for the possibility of new career opportunities. While Datacamp doesn't offer career services, learners do gain access to free job boards and a free professional profile.

At $300 a year or $39 a month, Datacamp is one of the most affordable online bootcamps. The subscription cost includes unlimited access to courses. Students could theoretically pass several courses with one $300 annual subscription. Datacamp advertises that students can go from no experience to career readiness through their courses.

Is Datacamp hard to get into?

Datacamp is not hard to get into. Anyone with an email address can sign up and start learning for free. For learners who want to earn a certificate or take a career course, Datacamp costs $39 per month and includes unlimited access. The only requirement is a credit card or Paypal account for the monthly payment.

Datacamp makes it easy to sign up, with the goal of making learning data skills available to more people. There is no stated minimum age or degree requirements to start learning with Datacamp.

Is Datacamp free?

Datacamp has a free subscription service that gives learners access to six courses and the first lesson of all courses. After working through these offerings, students can upgrade to earn certificates.

The six free courses are:

  • Data Engineering for Everyone
  • Data Science for Everyone
  • Introduction to Python
  • Introduction to SQL
  • Introduction to R
  • Machine Learning for Everyone

In addition, learners can access open courses developed by other Datacamp learners. These are available within the Datacamp community under the open courses heading.

Feature Image: Prasit photo / Moment / Getty Images