What are the best data science courses online? Become a data scientist.
In the information-driven world of today, a career in data science is both in-demand and super-lucrative. Organizations have come to rely on the predictive and exploratory skills of data scientists for growth. This is one reason why data scientists have lately come to command great professional perks with salaries averaging around $116,100 per year.
Whether you are a statistician bound on the journey to becoming a data scientist, or an entry-level analyst looking to make the switch, the following list of the best data science courses online can nudge you closer to that dream.
Data Science Courses – Overview
Until the last decade, one of the main challenges for enterprises was the storage of “big data”. Once that problem was resolved, the spotlight switched to data-processing. In this case, data scientists held the key that would unlock a new age of advanced artificial intelligence and predictive analytics to curb companies’ needs for solicited advice.
What is data science about? The field primarily concerns itself with retrieving valuable insights from extremely large data sets through a blend of powerful analytic tools, machine learning, and algorithmic functions.
Data Science vs Analytics – It is important to understand the difference here. Data Analytics involves treatment of a more statistical nature. There, the focus remains on the identification of trends, visualization through graphs, and developing charts that help businesses develop more strategically. See the best data analytics courses here.
Data science involves an in-depth analysis of historical data to make accurate predictions. Using predictive and prescriptive analytics, and machine learning, data scientists can generate prognostic models and help businesses make more informed decisions.
Best Data Science Courses Online 2021 – Top Picks
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*Disclaimer: This post contains affiliate links. Read the full disclosure at the end of this post.
Diving into the field requires majoring in at least one of the STEM (science, technology, engineering, or math) subjects. Several learning tracks can bridge the pre-requisites with your career goal. So, here’s a list of some of the best data science courses online.
1. Become a Data Scientist – Udacity
Udacity’s data science nanodegree (view course) boasts an assortment of lessons curated by industry experts. With the focus on integral concepts of running designing experiments, data pipelines, and building recommendation systems, you’ll come out of this data science course with the potential for a successful career in the industry and related fields.
Become a Data Scientist is a 4-month program spanning five major modules. Starting from building effective visualizations, you’ll gradually move towards some core concepts from software engineering, building models, and creating experiments.
Keep in mind that, compared to data analysis, data science involves hefty coding. Before enrolling in the program. Therefore, you must be familiar with basic concepts in machine learning, statistics, and Python programming.
A price of $1499 gives you 4-month access to the course, or you may switch to a $339 per/month price if more time is needed. Combined with excellent support, this is one of the best data science courses online offering comprehensive learning and expert know-how.
Instructors: Josh Bernard, Juno Lee, Luis Serrano | Certificate: Yes
Data Science Courses: 4 | Prerequisites: Python & SQL, Statistics
Price: $1499 with 4 months access. Discount available. View course.
2. Data Science for Business Leaders – Udacity
For being an executive program, Udacity’s second nanodegree encourages business leaders, managers, and high-stake executives to develop the skills needed for the successful integration of data science into their business. The path of incorporating data science is fraught with challenges related to technology, human capital, and management.
Starting with an introduction to data science and identifying ways of articulating your organization’s objectives, the program will move to core executive concepts. Later modules include studying the human capital component of this field and machine learning infrastructure before finishing off with a capstone project!
This class would roughly require around 4-8 weeks for completion with five hours of dedicated learning per week. Program prerequisites involve a sustainable exposure to complex business roles and settings, basic knowledge of Math, probability, and statistics, and prior experience with technical and IT projects.
One of the best data science courses online to improve your technical business skills.
Instructors: Ed Wiley | Prerequisites: Statistics, Probability, and Business Experience
Data Science Courses: 4 | Capstone Project: Yes | Certificate: Yes
Price: $1598 with 2 months access. $799/month. Discount available. View course.
3. Data Science Literacy – Pluralsight
Pluralsight’s skill path is framed around the foundational knowledge that dictates the use of data science in Microsoft Azure. Upon enrolling, you’ll be trained in coping with bad or incomplete data, data manipulation and remodeling, and the use of basic statistics.
Like most Pluralsight paths, the track expands over a beginner-intermediate-expert learning curve. You can opt for the appropriate level or choose to enroll for the entire series. An IQ measurement test can help to assess the right level and decide which of the data science courses you may skip and which are essential.
At the beginner level, you’ll be introduced to the fundamental concepts of shaping and communicating data. Next comes the application of descriptive statistics and designing experiments. Finally, at the advanced level, you will learn how to apply business models and identify and curb factors that negatively impact them.
Pre-requisites for the skill path include rudimentary skills in math, computer, and data management such as spreadsheets. Learners can opt for the free trial before embarking on a $19-per-month study plan with Pluralsight.
4. Data Science Specialization – Coursera
Coursera offers a popular data science specialization for beginners. Rated 4.5 out of 5, the track is authorized by the John Hopkins University and allows learners a customizable pace gauge. The topics are organized across 10 specialized data science courses.
Data Science Specialization by Coursera focuses specifically on the R programming language to analyze and visualize data in its introductory modules. From here, the specialization will launch into drilling exercises on Github-based data management projects, navigating the complete data science pipeline. Towards the end, you’ll be learning the ropes of regression analysis, inference, and least squares.
Depending on your prior experience, you may enroll for a particular course within the specialization or the entire ten-course series. Successful completion of the program will land you a shareable certificate. Included within the specialization are peer-graded assignments, practice quizzes, and a final Capstone project.
5. The Data Science Course 2021 – Complete Bootcamp – Udemy
Rated 4.6 out of five stars, Udemy’s Data Science Bootcamp involves complete training in Math, Statistics, Python, Advanced Statistics in Python, and Machine & Deep Learning. As part of Udemy’s business collection, the program is aimed at executives and high-stake managers for improved organizational performance. Learners have the freedom to adjust the course subtitles that come in more than 6 different languages.
Udemy’s Bootcamp has been described by the site as the complete “toolbox” one needs to become a successful data scientist. Some of the core concepts you’ll learn include linear and logistic regression in Python, machine learning algorithms, deep learning frameworks, statistical analysis using standard Python libraries, and coding in Python.
At the end of the course, you’ll be rewarded with a certificate of completion. Course enrolment starts at $11.99 with a 30-day money-back guarantee. Udemy offers a range of other best data science courses online covering different skills and topics.
5. Data Science Professional Certificate, HarvardX – edX
edX offers a professional certificate in data science aimed at aspiring professionals to help them kick-start their careers. Spanning over 9 courses, program completion averages around 1.5 years with 2-3 hours of dedicated learning per week.
Introductory courses include basics in R programming, visualization with ggplot2 and tidyverse, and some crucial statistical concepts such as probability, inference, and modeling. At this point, the following courses will gradually dive into the more integral tools for data scientists, including Unix/Linux, git and GitHub, and RStudio.
With your programming repertoire sufficiently built up, you’ll finally encounter ways to implement machine learning algorithms.
Although similar to Coursera’s specialization, this professional certificate trains learners for some additional heavy-lifting with real-world cases and machine-learning implementation. There are no specific prerequisites and the full data science course will cost $799.
Data Science Courses: 9 | Duration: 17 months | Certificate: Yes.
Provider: Harvard, edX | Price: approx. $799.
6. IBM Data Science Professional Certificate – edX
edX’s second track is an IBM-sponsored professional certificate in data science. Instead of R programming, IBM professional certificate program focuses on understanding and implementing Python using Jupyter. Once again, the program is a series of 9 related data science courses and modules. While learners are not required a specific skillset, later modules will build upon concepts learned in previous classes.
Introductory courses will teach several ways to implement data science and machine learning skills, publish reports, frame SQL queries, and explore relational data. With sufficient knowledge in the backdrop, you will jump to implementing key tools in Python for data visualization. Your last stop would involve a data science and machine learning capstone project to go hands-on with real-world data.
Averaging a study span of 1 year and a month, the track offers self-paced learning and a certificate towards the end. The full track will cost you $799 to be paid upfront.
Data Science Courses: 9 | Duration: 13 months | Professional Certificate: Yes.
Provider: IBM, edX | Price: $799 for full course.
Reading tip: See our list of best Python courses to learn specific skills. To explore learning opportunities by the provider, explore our lists of best Udacity courses, DataCamp Courses, or Pluralsight courses.
7. Data Science Masters Program – Edureka!
Edureka offers an extensive program comprising of 12 modules spanning some 250+ hours of interactive learning. These modules are aimed at inculcating proficiency amongst learners in dealing with data tools and techniques used by regular data scientists.
Core topics that will be covered in the program include Statistics, Python, Apache Spark & Scala, Tableau, and Tensorflow. Edureka claims its curriculum to be an assortment of research on 5000+ job descriptions worldwide.
Introductory modules will familiarize you with Python scripting and R statistics. Next comes the data science certification training with Python. Later modules include Apache Spark, Scala, and Tableau certifications along with deep learning training.
One perk of Edurekas’s Master’s program is the availability of a number of related but free elective courses that you can opt for alongside the learning path. Enrolling in the complete program would cost you $1,499.
Data Science Courses: 12 | Time: 5-6 weeks | Interactive Hours: 250 hours
Certificate: Yes | Capstone: Yes | Program Fee: $1499. Visit website.
8. Data Scientist with Python – DataCamp
DataCamp offers a right-from-scratch career track for aspiring data scientists. While the program does not require prior coding experience, you must prepare yourself for a vigorous learning track spanning over 23 data science courses. This is because data science, unlike Data Analysis, requires more intricate coding and statistical expertise.
To become a data scientist with Python, you must prepare for some hands-on experience with popular Python libraries such as Pandas, NumPy, and Matplotlib. You’ll master some integral concepts in data processing, such as data visualization, manipulation, cleaning, and importation through Python. Later stages will involve training decision trees and using natural language processing (NLP) for implementing machine-learning algorithms.
DataCamp’s standard plan for individual learners is priced at an economical $12 billed annually, however, you can avail yourself of one month’s free trial before paying upfront.
Data Science Courses: 23 | Time: 88 hours | Projects: 6 | Certificate: Yes
Price: Standard $25/month. Premium $33/month.
9. Data Scientist with R – DataCamp
Instead of Python, DataCamp’s second career track relies on R programming for instilling career-building data processing skills amongst aspiring data scientists. Spanning over 22 data science courses, the track averages some 88 hours of dedicated learning.
Data Scientist with R involves introductory courses on R’s inbuilt versatility when it comes to manipulating, visualizing cleaning, and importing data. With these integral skills down in your system, the career track will proceed towards interactive, hands-on exercise to help you take on popular R packages such as ggplot2 and tidyverse packages, such as dplyr.
In the final stage of your track, you’ll learn to write your own functions and perform cluster analysis. This will require you to learn the ropes of major statistical and machine learning techniques. Once again. A month’s free trial can help you make a more informed decision around whether or not to enroll for the career track billed annually at $19 per month.
Data Science Courses: 22 | Time: 88 hours | Certificate: Yes
Price: Standard $25/month. Premium $33/month.
10. Data Science Course Program – 365DataScience
Spanning over four modules, 365 DataScience offers learners an assortment of curated data science courses tailored to address the various difficulty levels within the program.
Module 1 covers the fundamentals, statistics, probability, and working with basic management tools such as Excel. The second module will prepare you for programming in data science. You will be introduced to SQL, SQL-Tableau, and Jupyter, along with individual course units dedicated to programming in R and Python.
Modules three and four are centered on machine learning, deep learning, and advanced specialization. Each module will directly rely on the knowledge acquired by learners in the previous modules. Coming out of the course, you will have acquired some hands-on experience with web scraping, business analytics, and product management using AI.
While a subscription to a free plan would not cost you anything, procurement of a shareable certificate and other benefits would charge you $36 billed monthly.
Modules: 4 | Data Science Courses: 32 | Certificate: Yes
Price: from $36/month or $29/month annual.
11. Become a Data Scientist – LinkedIn Learning
LinkedIn sponsors a learning path in data science comprising of nine courses that will cost you some 17 hours of dedicated learning. The path is designed to walk you through the fundamental stages in data science down to data mining and machine learning.
In the first three courses, learners will apprise themselves of the scope and application of data science along with the fundamentals. From here, you’ll begin diving into statistics, data governance, and data mining. Keep in mind that unlike other data science courses online, LinkedIn’s learning path focuses on expert visualization as its main outcome.
12. Data Scientist – Codecademy
Codecademy’s career path, Data Scientist, is aimed at aspiring data professionals and those looking to work with data in their job. Staring this career path would require a subscription to the Codecademy Pro plan, costing you $15/month billed annually. There is the option of a free trial before you pay upfront.
As a career track, Data Scientist will take you from grasping big data through high-end statistical analysis, all the way to creating models that can automate data using AI and machine learning. You will learn to perform data manipulation through SQL and by the time you get to the third module, you’ll be ready to take over fundamentals in Python.
At the end of the course, learners will hopefully develop a sufficient grasp of data visualization and resolve problems via machine learning. Spanning over 21 modules, the path roughly takes around 35 weeks for completion given a consistent study span per week. You can also earn a certificate of completion at the end of the track.
Data Science Courses: 21 | Duration: 35 weeks | Certificate: Yes.
Level: Beginners, Intermediates | Price: from $17.99/month.
13. Data Science: Data-Driven Decision Making – FutureLearn
Brought to you by Monash University, this micro-credential will take you on the journey of creating data-based stories, with data wrangling, modeling, and visualizations in R appearing en route. Costing $1474 the track spans over a total of 12 weeks.
In this program, you’ll be undertaking practical exercises based on the application of statistical models to simulate complex functions and solving broadly ranged problems.
Expect also to dive deep into tidying, harvesting, and wrangling data through R programming. From here you will take over complex visualization, and the ethical and legal issues involved in data management. FutureLearn claims to enable learners with the tools needed to both switch careers and/or enhance organizational performance.
Data Science Courses: 3 | Duration: 12 weeks | Certificate: Yes.
Level: Post-Graduate | Price: $1474
14. Data Science Bootcamp – Springboard
Rated at 4.75 out of five stars, Springboard makes the formidable claim of fee deferral until the student has landed a job as a data scientist. Tuition deferment and a job guarantee work together as great incentives for a risk-free enrolment. The Bootcamp spans over six months during which you can make the most of a 1:1 mentorship.
Springboard sees Python as the “lingua franca of data science.” You will learn how to wrangle and visualize data with Matplotlib and Seaborn, write clear and succinct codes using Python, statistical inference, and advanced machine learning.
You can either pay $7,500 and save 16% or opt for the tuition deferment plan and start paying $655.55 per month once you land a job as a data scientist. Pre-requisites include 6 months of coding experience with a general-purpose programing language, such as Python, as well as skills in basic statistics and probability.
Duration: 6 months | Certificate: Yes. | Info: Hands-on experience. Career support.
1:1 Mentoring: Yes | Job Guarantee: Yes | Price: from $1,490/month.
How to Choose the Best Data Science Course Online
If you’ve been on a persistent search for anything data science-related, Google and Facebook algorithms are shrewd enough to put you abreast of a slew of curated online dat science courses, career tracks, and seminars.
The sheer availability of choice can be overwhelming and it doesn’t help when you factor in the impact that your choice for a program might have on your career amid limited resources. There are, however, a few do’s that can help you make a more informed decision when searching for the best data science courses online.
Conduct an authentic review of your current skillset. We’ve already established how, compared to data analytics, data science is more comprehensive, elaborative, and predictive. Knowing where you stand in terms of prior knowledge should decide whether you should opt for a single course module or a complete career track.
Take your finances into account. Although the rise of curated online courses has made affordable quality education more inclusive, you must still plan your budget accordingly. If you prefer 1:1 tutoring or mentoring this might be more expensive but a better long-term investment as many data science courses online offer limited support only.
Factor in the time and energy you’re willing to invest. Aspiring data professionals will typically have more time to invest in training than business members or employees.
Finally, cast your inhibitions aside. There are a handful of platforms that let you assess what they offer before you’ll be asked to pay up.
Best Data Science Courses Online 2021 – Verdict
Wrapping up our tour of the best data science courses online. Once you’ve learned to align your financial goals with your current situation and faculty for a scholarship, you will be spontaneously directed to the course/training that fits your needs the best.
Instead of a one-size-fits-all formula, choose your favorite online data science courses depending on whether you are a beginner, intermediate level professional, or ready for advanced training.
Best Data Science Courses Online
- Become a Data Scientist – Udacity
- Data Science for Business Leaders – Udacity
- Data Science Literacy – Pluralsight
- Data Science Specialization – Coursera
- The Data Science Course 2021 – Complete Bootcamp – Udemy
- Data Science Professional Certificate, HarvardX – edX
- IBM Data Science Professional Certificate – edX
- Data Scientist with Python – DataCamp
- Data Scientist with R – DataCamp
- Data Science Masters Program – Edureka!
- Data Science Course Program – 365DataScience
- Become a Data Scientist – LinkedIn Learning
- Data Scientist – Codecademy
- Data Science: Data-Driven Decision Making – FutureLearn
- Data Science Bootcamp – Springboard
What are the best data science courses online? Have you taken any of the courses above? What is your learning experience? Let us know in the comments below.
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