DataCamp Review

DataCamp is a coding bootcamp that allows students to learn data analysis and data science online by completing real-world exercises right in their browsers. The courses do not require any software downloads or heavy technical requirements.

DataCamp's learning methodology involves student assessments, progress tracking, interactive learning, and daily challenges. DataCamp courses also allow students to apply their skills to practical situations, and members include professionals employed at Deloitte, eBay, Google, Intel, PayPal, Uber, and many other companies.

DataCamp Overview

Location: Remote

Technical Disciplines: Data Analysis, Data Science, Machine Learning

Payment Option: Membership

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DataCamp Courses

If you're interested in a learning experience similar to a coding bootcamp, you may want to try one of DataCamp's career tracks. DataCamp offers 14 career tracks, 52 skill tracks, and 351 individual courses related to data analysis, data science, and machine learning. Students access the learning content online at their own pace.

Each of the 14 career tracks includes 12-29 courses that cover the skills needed to prepare for a specific career. Career tracks take 45-108 hours to complete. Examples include R programmer, Python data scientist, and SQL data analyst.

The 52 skill learning paths each contain a collection of 3-6 courses that together cover the theme of the learning path. Each learning path takes 12-30 hours to complete. Examples include applied finance, natural language processing, and SQL for business analysts.

The short, 2-6-hour courses each cover a specific skill. Examples include data analysis in Excel, writing efficient Python code, and introduction to data engineering.

Data Analyst With Python true
  • Cost: $25 per month, billed annually
  • Learning Format: Online
  • Time Commitment: Self-Paced
  • Length: 62 hours

In this career track, students gain the Python skills needed to import, clean, arrange, and visualize data. Students learn to work with Python libraries such as NumPy, pandas, and Matplotlib.

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Data Analyst With R true
  • Cost: $25 per month, billed annually
  • Learning Format: Online
  • Time Commitment: Self-Paced
  • Length: 77 hours

In DataCamp's data analyst with R career track, students learn how to import data, clean it, rearrange it in different ways, and visualize it. Participants gain experience with packages such as ggplot2, tidyverse, and readr.

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Data Analyst With SQL Server true
  • Cost: $25 per month, billed annually
  • Learning Format: Online
  • Time Commitment: Self-Paced
  • Length: 45 hours

In this career track, learners explore SQL data types and database design. Students also learn how to write functions and queries, as well as how to handle errors, manage transactions, and improve the performance of queries.

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Data Engineer With Python true
  • Cost: $25 per month, billed annually
  • Learning Format: Online
  • Time Commitment: Self-Paced
  • Length: 95 hours

In this Python engineering career path, students learn how to manage large-scale data systems, streamline data processing, and build data architectures. Learners also gain experience using tools such as MongoDB, Spark SQL, PySpark, and AWS Boto.

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Data Science for Everyone true
  • Cost: $25 per month, billed annually
  • Learning Format: Online
  • Time Commitment: Self-Paced
  • Length: 100 hours

Students need no coding experience to join DataCamp's data science for everyone career track. This course contains tutorials on machine learning, data visualization, data science, and more.

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Data Scientist With Python true
  • Cost: $25 per month, billed annually
  • Learning Format: Online
  • Time Commitment: Self-Paced
  • Length: 88 hours

This career track covers machine learning and statistical skills using Python. Students use natural language processing and train decision trees.

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Data Scientist With R true
  • Cost: $25 per month, billed annually
  • Learning Format: Online
  • Time Commitment: Self-Paced
  • Length: 88 hours

In the data scientist with R career path, students explore machine learning and statistical techniques by working with real-world datasets. Learners also perform cluster analysis and write their own functions.

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Machine Learning for Everyone true
  • Cost: $25 per month, billed annually
  • Learning Format: Online
  • Time Commitment: Self-Paced
  • Length: 115 hours

Students with no coding experience can learn the fundamentals of machine learning in this career track, which covers topics like unsupervised learning, supervised learning, and deep learning.

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Machine Learning Scientist With Python true
  • Cost: $25 per month, billed annually
  • Learning Format: Online
  • Time Commitment: Self-Paced
  • Length: 93 hours

DataCamp's machine learning scientist with Python career track covers the programming skills necessary to perform unsupervised, supervised, and deep learning. Students learn how to train models, process data, and assess model performance.

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Machine Learning Scientist With R true
  • Cost: $25 per month, billed annually
  • Learning Format: Online
  • Time Commitment: Self-Paced
  • Length: 61 hours

In this career track, students learn to use the R programming language to model data, train their models, analyze model performance, and fine-tune model parameters to improve their functionality.

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Python Programmer true
  • Cost: $25 per month, billed annually
  • Learning Format: Online
  • Time Commitment: Self-Paced
  • Length: 62 hours

In the Python programmer career track, students learn how to perform data analysis and develop software with Python. Students do not need any prior experience in coding to enroll.

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Quantitative Analyst With R true
  • Cost: $25 per month, billed annually
  • Learning Format: Online
  • Time Commitment: Self-Paced
  • Length: 65 hours

Students in this career track learn how to balance portfolios for risk, evaluate asset prices, and find new trading opportunities using mathematical models.

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R Programmer true
  • Cost: $25 per month, billed annually
  • Learning Format: Online
  • Time Commitment: Self-Paced
  • Length: 48 hours

In DataCamp's R programmer career track, students learn to write efficient R code, manipulate data, work with times and dates, and import web data using APIs. Students gain experience with object-oriented programming and writing functions, and they also complete interactive coding projects.

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Statistician With R true
  • Cost: $25 per month, billed annually
  • Learning Format: Online
  • Time Commitment: Self-Paced
  • Length: 108 hours

In this career track, students learn to use statistics and the R programming language to solve problems in science, engineering, business, and other fields. Students use linear models, regression, A/B tests, mixture models, and many other statistical techniques.

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Frequently Asked Questions About DataCamp

What is DataCamp?

DataCamp is a membership site offering free and paid memberships to users who want to learn about data analysis and data science. The company offers many skill tracks, career tracks, and courses to its users.

Is DataCamp worth it?

DataCamp requires a small investment compared to many coding bootcamps. Its low cost can make it a worthwhile investment, although whether it is worth it for you depends on your learning needs and career goals.

Is DataCamp free?

DataCamp has a free membership that includes the first chapter of each course, seven projects, three sets of practice challenges, and unlimited skill assessments. The standard paid membership includes all of the skill tracks, career tracks, and over 300 courses for $25 per month, billed annually. See other free coding bootcamps here.

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