Best Data Science Courses and Certification

Best Certification for Data Science

If you’re looking for a high-paying job in the data science field, you need to know where to start. But we’ve got some good news and bad news.

The good news is that data science is one of the most in-demand skills out there right now, with an average salary of over $100,000. The bad news is that it’s not easy to break into the field without proper training.

Luckily, there are plenty of data science courses that can help you get started. But what if you’re not sure where to start?

If you’re looking for a comprehensive course to build your data scientist skillset, look no further – we’ve got all the info you need right here. Let’s get started learning today with these data science certification courses.

Key factors to consider when picking an online data science course

There are a few key factors to keep in mind when picking an online data science course.

  • DIFFICULTY: First, consider the level of the course. If you’re a beginner, look for a course that covers the basics and builds up to more advanced concepts. If you’re already familiar with the basics of data science, look for a course that covers more specialized topics like machine learning.
  • FORMAT: Second, consider the format of the course. Some courses are self-paced, allowing you to work through the material at your own pace. Others are more structured, with set deadlines for assignments. Consider which type of format would work better for your learning style.
  • COST: Third, consider the cost of the course. Data science courses can range in price from a few hundred dollars to several thousand dollars. Consider your budget and whether you’re willing to invest in a more expensive course.
  • COURSE MATERIAL: Finally, consider the course material of the course. Make sure you pick a data science course that is compatible with your learning style. If you are a hands-on learner, then it’s best to pick one with projects that will challenge you.

Keeping these factors in mind can help you pick an online data science course that’s right for you.

1. Data Scientist Nanodegree Program (Udacity)

Udacity

If you’re looking to become a data scientist, then look no further than Udacity’s Data Scientist Nanodegree Program. With this certificate, you’ll learn how to use Python for data science projects – so you can build functioning machine learning models and pipelines.

You will also be able to put all of what you’ve learned into action by working on your own open-ended Data Science project. Through this immersive program, you’ll build your portfolio and advance your career in a data science role with the skills you learn in this program.

SAVE 25% OFF – Use promo code CAREER25 to save on your favorite Udacity courses. Enroll today.

PROS

  • Get up to speed quickly with the actual skillsets that you need.
  • Gain real-world experience with projects designed by industry experts.

CONS

  • Higher price but has pay-as-you-go options to encourage quick completion.
COURSES
  • Solving Data Science Problems: Be able to present your findings, build effective data visualizations, and gain a deep understanding of the data science process.
  • Software Engineering for Data Scientists: Get the skills you need that are essential for data scientists by learning how to build classes and create unit tests.
  • Data Engineering for Data Scientists: You’ll get hands-on experience with the latest data science technologies and skills required to drive data science projects in the cloud.
  • Experiment Design and Recommendations: Experience the power of advanced analytics and for testing A/B testing and recommendation systems.
  • Data Science Projects: Take what you’ve learned throughout the program and build your own project in a real-world setting.
VERDICT

This program is designed by industry experts and will give you the skills and experience you need to succeed in this field. In this program, you will learn how to visualize data and build data engineering skills essential for data scientists. Additionally, you’ll work on real-world projects, run data pipelines, design experiments, build recommendation systems, and much more. So if you’re ready to jump into the world of data science, the Udacity Data Scientist Nanodegree program is the perfect place to start.

InstructorUdacity
Duration4 months (10 hours per week)
CertificationData Scientist Nanodegree
PrerequisitesPython, SQL & Statistics
Skills AcquiredIBM Watson Studio, Python, SQL, Data Pipelines, and Statistics

2. IBM Data Science Professional Certificate (IBM)

IBM

The IBM Data Science Professional Certificate will help you understand the basics of data science and give you the skills you need to work with data. You’ll learn how to use the tools, languages, and libraries used by professional data scientists, so you can start your career in this exciting field.

PROS

  • Learn from experts on an unrivaled platform.
  • Achieve your goals with the most cost-effective course.
  • Develop your own project and build your portfolio with a Capstone project.
  • Whether you want to learn data science tools, dive into Python, or explore SQL, this program has you covered.

CONS

  • You’ll gain a stronger understanding of the tools in the IBM data science toolkit including IBM Watson (but only those IBM tools).
  • A shortfall in resume support and career development upon graduation.
COURSES
  • Data Science Tools and Methods: Prepares you to solve real-world business problems that can be tackled with data science.
  • SQL and Analysis for Python: SQL is the language of databases, and this course will show you how to use it as part of your data science work.
  • Visualization in Python: In this course, you’ll learn how to use your existing data to create meaningful visualizations and graphical representations.
  • Machine Learning with Python: Gain skills for uncovering hidden insights and predicting future trends using machine learning with Python.
  • Capstone Project: You will be able to showcase your Data Science skills and give yourself a competitive edge in the job market with a Capstone project.
VERDICT

With hands-on experience using real data sets, you’ll be ready to take on any challenge that comes your way. For instance, you will clean and analyze your data through the IBM Data Science Professional Certificate program. Plus, you’ll be able to publish your findings in a professional report. Become a data scientist with Python and begin your journey to becoming a confident data scientist.

InstructorIBM
Duration1 year (3 – 6 hours per week)
CertificationIBM Data Science Professional Certificate
Coursework10 skill-building courses
Skills AcquiredPython, SQL, Jupyter notebooks, IBM Watson Studio, R Studio, Pandas, SciPy, Scikit-Learn, Matplotlib, Seaborn, and Folium

3. Professional Certificate in Data Science (Harvard)

Harvard University

Data Science is the science of extracting information from data. It includes understanding, predicting, and improving business decisions through data-driven insights. The field of data science has gained momentum in leveraging data for decision-making. The Professional Certificate in Data Science ensures that you get your hands on the skillset you need to excel in your career.

PROS

  • Instructions from a university that has been consistently ranked at the top of global rankings for its excellence in education.
  • Jumpstart your career with real-world data science case studies.

CONS

  • A long timeframe of 9 courses extended over a one-year period. Albeit, it’s still possible to complete with a more intense schedule.
  • R is the less preferred programming option over Python.
COURSES
  • R Programming Basics: Learn how to effectively manage, analyze and visualize data from scratch with the R framework.
  • Data Wrangling and Productivity Tools: Learn the methods of data wrangling, investigation, and analysis so that you can work more efficiently with them. Gain knowledge of production techniques that will help you work effectively.
  • Machine Learning: Study practical methods for applying machine learning techniques to real-world problems and creating scalable solutions.
  • Capstone Project: Students get both hands-on experience and theoretical insight into data science problems with their own research project, while also finishing out their certification requirements.
VERDICT

In a world where data has become the most important asset, it’s no surprise that there are many professionals in data science. By utilizing data to make decisions and solve problems, they can help businesses thrive. Harvard University is now offering a Professional Certificate in Data Science, which can help you stand out from the crowd.

InstructorHarvard University
Duration1 year and 5 months (2-3 hours per week)
CertificationProfessional Certificate in Data Science
PrerequisitesNone
Instruction9 skill-building courses
Skills AcquiredR Programming, Statistics, Ggplot2, Dplyr, GitHub, and RStudio

4. Data Scientist with Python (DataCamp)

DataCamp

Python is a must-know language for data scientists. And that’s what this track is all about. You’ll learn the ins and outs of Python, as well as how to use it for data science tasks like training decision trees and doing natural language processing (NLP). With DataCamp’s Data Scientist with Python track, you can gain the essential coding skills you need to succeed in this growing field.

PROS

  • Concise career track offering a wide variety of courses and projects throughout.
  • Great instructors like Hugo with several different styles of teaching.
  • Rich in projects and hands-on learning experiences.

CONS

  • Resume/CV preparation is not part of the data scientist career track.
COURSES
  • Introductory and Core Python: From introductory to intermediate Python, learn the essential skills like NumPy, Pandas, and Matplotlib.
  • Data Visualization: Enhance your data analysis with a practical introduction to data visualization and Matplotlib, the most popular open-source graphing library.
  • Python Data Science Toolbox: Follow along in interactive tutorials and learn how to customize your own functions and handle errors.
  • Applied Projects: From investigating Netflix movies, Github, to Android App Market, you will get hands-on experience extracting information and learning to code in Python.
VERDICT

This comprehensive Data Scientist with Python track will take you from beginner to expert, using real-world datasets to learn the statistical and machine learning techniques you need. Its interactive exercises will teach you how to manipulate and visualize data using some of the most popular Python libraries including pandas, NumPy, Matplotlib, and many more. But the best part is that you don’t need any prior coding experience because its experts will guide you every step of the way. Start your data science journey today with DataCamp.

InstructorDataCamp
Duration88 hours
CertificationData Scientist with Python
PrerequisitesNone
Coursework23 courses and 6 projects
Skills AcquiredPython, Pandas, NumPy, Matplotlib, Scikit-learn, SQL, Seaborn, Git, Natural Language Processing (NLP).

5. MicroMasters® Program in Data Science (UC San Diego)

UC San Diego

The MicroMasters Program in Data Science from UC San Diego offers 4 graduate-level courses that are designed with industry leaders in mind. These courses are taught by working professionals within this field who have years of relevant experience. Course topics include big data analytics, machine learning, artificial intelligence, statistics, data visualization, algorithms, and more.

PROS

  • A well-rounded course that covers everything from big data to machine learning.
  • Introduces students to a wide range of Python libraries.

CONS

  • Lack of career preparation and CV/resume support.
  • Although it’s a great fit for graduate students, this program has a high learning curve.
COURSES
  • Python for Data Science: Learn the foundations of Python to manipulate, analyze, and visualize complex datasets with Pandas, Git and Matplotlib.
  • Probability and Statistics in Data Science using Python: Get a firm understanding of the power of probabilistic modeling and Python’s ability to gain insights for data science.
  • Machine Learning Fundamentals: Get a comprehensive overview of machine learning, from the basic principles to practical applications.
  • Big Data Analytics Using Spark: Unlock the power of big data with this hands-on course. This course covers everything you need to get started with big data analytics using the Jupyter notebook, MapReduce, and Spark as a platform.
VERDICT

The MicroMasters Program in Data Science from UC San Diego is a good alternative for those who would like to pursue an analytics degree or certificate without the extensive cost commitment or requirement of pursuing all the traditional coursework. With this program, students can complete their coursework online and receive a data science certificate upon completion.

InstructorUC San Diego
Duration4 months (10 hours per week)
CertificationMicroMasters® Program in Data Science
Skills AcquiredPython, Pandas, Git, Matplotlib, Jupyter Notebooks, MapReduce, and Spark

6. Data Scientist in Python (Dataquest)

Dataquest

The skills and tools necessary for a data scientist are changing, so this is why Dataquest is offering a Data Scientist in Python career path. The course starts with an overview of data science and how it can be applied in production. You will then explore the basics of programming in Python looking at functions, loops, and objects. Next, you’ll be introduced to tools such as Pandas, NumPy, Spark, and Matplotlib for data exploration. Finally, you will get hands-on learning where you will apply some of these techniques by exploring real-world datasets using machine learning.

PROS

  • Extremely thorough course covering the fundamental topics of data science.
  • Easy to learn with its online platform putting students first in the driver’s seat.

CONS

  • No capstone project to wrap up your skills and everything you learned throughout the career track.
COURSES
  • Python and SQL: These courses will teach you the fundamentals of how to write Python code, how to use SQL, and combining the two. You’ll learn everything from loops, conditionals, dictionaries to Pandas and NumPy.
  • Statistics and Machine Learning: For those interested in learning about statistics, probabilities and machine learning, these courses are designed to help you quickly grasp the concepts and practice through Dataquest.
  • Deep Learning: Brush up on the fundamentals of deep learning and Apache Spark with this course, which starts with decision trees and a basic understanding of neural networks.
VERDICT

The Data Scientist in Python track from Dataquest is an online program that covers the essentials of the data science field. The track is designed to take you from beginner to intermediate level and provide you with a certificate upon completion to showcase on your CV/resume. This program is specifically tailored for people who are interested in learning more about data science but don’t know where to start.

InstructorDataquest
Duration34 Modules
CertificationData Scientist in Python
PrerequisitesBeginner Python
Skills AcquiredPython, SQL, Apache Spark, NumPy, Pandas, Matplotlib, Kaggle, Jupyter Notebooks, Git, and Map Reduce

7. Applied Data Science with Python Specialization (University of Michigan)

University of Michigan

Text mining, inferential statistics, machine learning: the future is now for data science. Data has become a driving force in our economy and society because of its immense potential to allow us to uncover insights that would otherwise be impossible. The five-course Applied Data Science with Python Specialization from the University of Michigan will teach you how to use Python as a gateway into the world of data science.

PROS

  • Learn a wide range of data science topics such as data visualization, machine learning, and text mining.
  • Receive instructions from the University of Michigan.

CONS

  • The program does not provide career preparation and CV/resume.
COURSES
  • Introduction to Data Science in Python: Learn the basics of data manipulation and cleaning techniques with the popular Python pandas library and how to effectively utilize functions such as groupby, merge, and pivot tables.
  • Charting, Plotting, and Data Visualization: Get a complete introduction to how to visualize information. Learn how to plot, chart, and visualize information with Matplotlib.
  • Applied Machine Learning in Python: Understand the difference between supervised and unsupervised learning methods and identify machine learning techniques.
  • Projects in Python: Perform a series of projects using Python including text mining and social network analysis.
VERDICT

The Applied Data Science with Python Specialization from the University of Michigan discusses how to apply their skills towards applied data science with Python. This specialization will help students learn how machine learning works with Python and statistics in order to build predictive models that are suitable for solving real-world problems.

InstructorUniversity of Michigan
Duration5 months (7 hours per week)
CertificationApplied Data Science with Python Specialization
LevelIntermediate
Skills AcquiredPython, Pandas, Matplotlib, Scikit-learn, Natural Language Toolkit (NLTK), and NetworkX

8. Data Science for Business Leaders Nanodegree (Udacity)

Udacity

There are no shortcuts to mastering data science, but there are some tricks that can help you speed up the learning process. Whether you are a business leader or not, it is important to understand how data science can impact your company. The Data Science for Business Leaders Nanodegree offers numerous benefits for business leaders. If you want to learn about the importance of data science for business leaders and how it can impact any company, this nanodegree is the right step forward.

PROS

  • Understand how to leverage data science in any business to help power strategic business decisions and insights.
  • Support and mentorship from Udacity to help instruct your data science plan into action.
  • Capstone project to outline the transformation of a business into a data science-driven objective.
  • Incorporates strategies of machine learning initiatives.

CONS

  • For those who are interested in the business side, this course can assist leaders in implementation. However, those who want to learn the fine details of data science should turn to another course or certification.
COURSES
  • Introduction to Data Science: You’ll learn how Data Scientists create insights and open doors for your business.
  • Business Case for Data Science: This course will teach you how to develop a data science strategy that aligns with a business’s broader strategic objectives and identify opportunities for data science-based transformation.
  • Human Capital of Data Science: Data science is the future of the information age and is becoming an ever-increasingly important strategic business function. Learn why data science adds value to the organization by improving decision-making and leveraging data to help people make better, more data-driven decisions.
  • Data and Machine Learning Infrastructure Strategy: Data science and machine learning are redefining the role of business intelligence and analytics. Build a data infrastructure that best supports the overall data science initiative and machine learning strategy.
  • Capstone Project: Learn to build a data plan from your first day that drives transformation in your business until day 100. This capstone project will help you see the impact of your strategies and the potential of your data.
VERDICT

Data science isn’t just a buzzword; it’s a powerful tool for solving business challenges. If you are looking for ways to use data science to improve your current processes as well as grow your business, the Data Science for Business Leaders Nanodegree will open your eyes to how data science can make a difference. You will learn strategies to implement data science in your strategic plan under the wing of instruction from Udacity, a global leader in education and instruction.

InstructorUdacity
Duration4 – 8 weeks (5 hours per week)
CertificationData Science for Business Leaders Nanodegree
PrerequisitesStatistics, Probability, and Business Experience
Skills AcquiredData Science Implementation, Strategic Planning, Capstone Project

9. Data Science Specialization (Johns Hopkins)

Johns Hopkins University

The Data Science Specialization by Johns Hopkins takes you from zero into the world of data science. You’ll learn the basics like how to read and write R Programming code, and effective coding practices such as when and where to use loops, conditionals, functions, and modules. Finally, you’ll cap it off with a data science capstone project drawn from a real-world situation.

PROS

  • Versatile 10-course specialization with expert instruction from Johns Hopkins.
  • Covers areas of study like machine learning and RStudio.
  • Final capstone project with industry, government, and academic partners.

CONS

  • The main focus is on R Programming without much instruction for Python.
  • Centerpoint of instructions is in statistics like regression, statistical inference, and exploratory analysis.
  • Strangely Python is a prerequisite, despite only teaching R Programming throughout the specialization.
COURSES
  • R Programming: Learn the key aspects of programming in R and how to implement statistical programming skills in R while getting to grips with the most important parts of the package, including reading, data manipulation, and exploration.
  • Statistics with R: Get an introduction to R programming for data analysis and understanding before diving into more advanced statistical methods. For instance, conduct exploratory analyses, build regression models, and learn statistical inference.
  • Machine Learning: This course will teach you the basics of applying machine learning to build powerful predictive models. By the end of this course, you will have a better understanding of the practical challenges of building predictive models and the know-how to tackle them.
  • Capstone Project: Get practice applying your data science skills to real-world problems. Use the skills and knowledge you’ve gained throughout your courses to create an impactful final data product.
VERDICT

If you are looking for a specialization that gives you a leg up in the field of statistics, data mining, and predictive modeling, the Data Science Specialization by Johns Hopkins University may be the perfect fit for you. Although it’s heavy in R Programming, it will teach you how to extract information from data and make predictions using statistical methods.

InstructorJohns Hopkins University
Duration11 months (7 hours per week)
CertificationData Science Specialization
LevelBeginner
Skills AcquiredR Programming, RStudio, Regression, Machine Learning, RegEx, and ANOVA

10. Data Scientist Career Path (Codecademy)

Codecademy

If you want to break into the field of data science, becoming certified in Codecademy’s Data Scientist Career Path is a good place to start. The Data Scientist Career Path from Codecademy is an online course where you learn the fundamentals of statistics, big data, and machine learning with interactive Python code examples. Throughout the coursework, it challenges you with interactive projects to put your skills to the test.

PROS

  • Excel in data science through a versatile online platform helping you learn how to code better.
  • Go from data wrangling, and visualization, to machine learning and deep learning in this comprehensive career track.
  • Showcase what you’ve learned in a data scientist final portfolio project with any topic you choose.
  • Rich in applied projects throughout with interview preparation.

CONS

  • Even though Codecademy supplies you with projects to help you think outside the box, some graduates have difficulties translating these skills to their employment.
  • Lack of career services, CV/resume support, and mentorship assistance.
COURSES
  • Python Fundamentals and Project: Get started learning the fundamentals of Python, and use your understanding of Python syntax to sort and analyze data. You will learn about different data types and finish with a Python project analyzing medical insurance costs.
  • Data Wrangling and Manipulation with Pandas: You will learn the basics of pandas, including how to import, clean, reshape, and aggregate data. Once you have learned this, you are ready to start using pandas for data wrangling and manipulation.
  • Data Visualization and Portfolio Project: This course features advanced data visualization and portfolio project skills necessary for professionals in the field. You will learn data visualization techniques to better understand, analyze, and visualize your data. You will also understand the power of using your understanding of data visualization to create dynamic visualizations with a project regarding GDP and life expectancy.
  • Machine Learning and Deep Learning Project: Gain a firm foundation in machine learning and deep learning. By the end of this course, you will have a firm grasp of supervised learning, unsupervised learning, and clustering techniques.
VERDICT

There’s no better time to be a data scientist than now. The Data Scientist Career Path spans a wide range of course material such as data manipulation, visualization, and machine learning in Python. It will challenge you continuously through projects to reinforce what you’ve learned. The skills and tools you need to excel in this field are available if you’re willing to put in the effort. Take the first step through the online Codecademy platform.

InstructorCodecademy
Duration35 Weeks
CertificationData Scientist Career Path
Course Material21 Lessons
Skills AcquiredSQL, Python 3, NumPy, Pandas, Matplotlib, and Scikit-learn

Best Data Science Certification Courses

Data scientists are one of the highest-paid tech professionals out there that’s quickly growing in popularity. It’s not only its high salaries and growth that are unique to data science, but it also has opportunities in many different industries.

LinkedIn data has shown a +650% growth rate since 2012, and the average annual salary for jobs with “data scientist” in their title hit $120,000+ last year.

If you want to get on board with this lucrative career opportunity, here is a list of the best data science courses and certification options to help you get started with your journey.

Consider enrolling in one of the data science training courses today and you’ll be able to land a job as a data scientist or just better understand how it all works. Otherwise, here are some other certification courses to check out:

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