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Online Courses to help you land a job as a Data Scientist

Carolyn

Founder at MoocLab
Staff member
Group Manager
According to Glassdoor, being a Data Scientist is one of the best jobs to have based on the number of job openings, salary, and overall job satisfaction rating. With thousands of job vacancies to apply to, Data Scientists can expect to earn a median base salary of $110,000.

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MoocLab has searched the Online Course platforms to find you the best online courses to help you get that dream job.

Data Science A-Z™: Real-Life Data Science Exercises Included
By Kirill Eremenko via Udemy
Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!


Extremely Hands-On... Incredibly Practical... Unbelievably Real!

This is not one of those fluffy classes where everything works out just the way it should and your training is smooth sailing. This course throws you into the deep end.

In this course you WILL experience firsthand all of the PAIN a Data Scientist goes through on a daily basis. Corrupt data, anomalies, irregularities - you name it!

This course will give you a full overview of the Data Science journey. Upon completing this course you will know:
  • How to clean and prepare your data for analysis
  • How to perform basic visualisation of your data
  • How to model your data
  • How to curve-fit your data
  • And finally, how to present your findings and wow the audience
This course will give you so much practical exercises that real world will seem like a piece of cake when you graduate this class. This course has homework exercises that are so thought provoking and challenging that you will want to cry... But you won't give up! You will crush it. In this course you will develop a good understanding of the following tools:
  • SQL
  • SSIS
  • Tableau
  • Gretl
This course has pre-planned pathways. Using these pathways you can navigate the course and combine sections into YOUR OWN journey that will get you the skills that YOU need.

Or you can do the whole course and set yourself up for an incredible career in Data Science.

The choice is yours. Join the class and start learning today!

See you inside,

Sincerely,

Kirill Eremenko

Who is the target audience?
  • Anybody with an interest in Data Science
  • Anybody who wants to improve their data mining skills
  • Anybody who wants to improve their statistical modelling skills
  • Anybody who wants to improve their data preparation skills
  • Anybody who wants to improve their Data Science presentation skills

Microsoft Professional Program in Data Science
By Microsoft via EdX
Gain the skills you need to get the data science job you want.


Accelerate your career in one of the hottest fields – data science. Learn data science fundamentals, key data science tools, and widely-used programming languages from industry and academic experts in this unique program created by Microsoft.

Built in collaboration with leading universities and employers, the Microsoft Professional Program Certificate in Data Science will develop the analytical and programming skills you need to take advantage of the 1.5 million career opportunities available now in data science.
  • Courses: 9 courses + Final Project
  • Effort: 16 - 32 hours per course
  • Price*: $99 per course / $990 for the entire program
*Individual courses can be audited free of charge. The fee applies if you wish to gain recognition of your learning with an ID-Verified Certificate of Completion.
You'll Learn To
  • Use Microsoft Excel to explore data
  • Use Transact-SQL to query a relational database
  • Create data models and visualize data using Excel or Power BI
  • Apply statistical methods to data
  • Use R or Python to explore and transform data
  • Follow a data science methodology
  • Create and validate machine learning models with Azure Machine Learning
  • Write R or Python code to build machine learning models
  • Apply data science techniques to common scenarios
  • Implement a machine learning solution for a given data problem
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Applied Data Science with Python Specialization
By The University of Michigan via Coursera
Gain new insights into your data . Learn to apply data science methods and techniques, and acquire analysis skills.


The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have basic a python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.

Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.
  • Courses: 5 courses
  • Price*: £37/month (7-day free trial): Get unlimited access to this Specialization, plus 2000+ other courses
*Individual courses can be audited free of charge. The fee applies if you wish to gain recognition of your learning with an ID-Verified Certificate of Completion.

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Data Analysis and Presentation Skills: the PwC Approach Specialization
By PwC via Coursera
Make Smarter Business Decisions With Data Analysis. Understand data, apply data analytics tools and create effective business intelligence presentations.


If you are a PwC Employee, gain access to the PwC Specialization and Courses for free using the instructions on the PwC L&D Spark page or simply search "Coursera" on PwC Spark.

This Specialization will help you get practical with data analysis, turning business intelligence into real-world outcomes. We'll explore how a combination of better understanding, filtering, and application of data can help you solve problems faster - leading to smarter and more effective decision-making. You’ll learn how to use Microsoft Excel, PowerPoint, and other common data analysis and communication tools, and perhaps most importantly, we'll help you to present data to others in a way that gets them engaged in your story and motivated to act.

What's more, should you enroll in these courses, you will be invited to join PwC's talent network.Those who opt into this talent network will receive information about PwC career opportunities, thought leadership, and happenings in the PwC global network.
  • Courses: 4 courses + a Final Project
  • Price*: £37/month (7-day free trial): Get unlimited access to this Specialization, plus 2000+ other courses
*Individual courses can be audited free of charge. The fee applies if you wish to gain recognition of your learning with an ID-Verified Certificate of Completion.

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A Crash Course in Data Science
By Johns Hopkins University via Coursera

By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials.

This is a focused course designed to rapidly get you up to speed on the field of data science. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward.

After completing this course you will know.

1. How to describe the role data science plays in various contexts
2. How statistics, machine learning, and software engineering play a role in data science
3. How to describe the structure of a data science project
4. Know the key terms and tools used by data scientists
5. How to identify a successful and an unsuccessful data science project
6. The role of a data science manager

Price*: £37/month (7-day free trial): Get unlimited access to this Course, plus 2000+ other courses

*Individual courses can be audited free of charge. The fee applies if you wish to gain recognition of your learning with an ID-Verified Certificate of Completion.

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Data Science Specialization
By Johns Hopkins University via Coursera
Launch Your Career in Data Science. A nine-course introduction to data science, developed and taught by leading professors.

This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
  • Courses: 9 Courses + Final Project
  • Price*: £37/month (7-day free trial): Get unlimited access to this Specialization, plus 2000+ other courses
*Individual courses can be audited free of charge. The fee applies if you wish to gain recognition of your learning with an ID-Verified Certificate of Completion.

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Data Analysis and Interpretation Specialization
By Wesleyan University via Coursera
Learn Data Science Fundamentals. Drive real world impact with a four-course introduction to data science.


Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.

The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world's biggest social challenges by joining one of their competitions, or help The Connection better understand recidivism risk for people on parole in substance use treatment. Regular feedback from peers will provide you a chance to reshape your question. This Specialization is designed to help you whether you are considering a career in data, work in a context where supervisors are looking to you for data insights, or you just have some burning questions you want to explore. No prior experience is required. By the end you will have mastered statistical methods to conduct original research to inform complex decisions.
  • Courses: 4 Courses + Final Project
  • Price*: £37/month (7-day free trial): Get unlimited access to this Specialization, plus 2000+ other courses
*Individual courses can be audited free of charge. The fee applies if you wish to gain recognition of your learning with an ID-Verified Certificate of Completion.

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Data Science for Executives Professional Certificate
By Columbia University via EdX
Learn the foundations of statistical thinking, the power of machine learning, and enabling technologies for data science.


Data science is making us smarter and more innovative in so many ways. How does it all work? In this Data Science and Analytics Professional Certificate program you will gain insight into the latest data science tools and their application in finance, health care, product development, sales and more. With real world examples, we will demonstrate how data science can improve corporate decision-making and performance, personalize medicine and advance your career goals.

Taught by a distinguished team of professors at Columbia University’s Data Science Institute, this program is perfect for anyone who wants to understand basic concepts in data science without getting into the weeds of programming. Aimed at organization leaders, business managers, health care professionals and anyone considering a career in data science, this program will steep learners in the fundamentals of statistics, machine learning and algorithms. It will also introduce emerging technologies such as the Internet of Things (IoT) , or wirelessly connected products, and techniques that allow computers to summarize mountains of text, audio and video. Concrete examples provided throughout the program will ensure that learners fully grasp and master key concepts.

Job Outlook
  • The use of analytics has grown exponentially in all areas, including healthcare, government, retail, e-commerce, media, manufacturing, and the service industry
  • Training in data science and analytics creates a pathway to jobs like Software Developer, Systems Engineer, Network Engineer, and Systems Administrator.
What You'll Learn:
  • The history of data science, tangible illustrations of how data science and analytics are used in decision making across multiple sectors today, and expert opinion on what the future might hold
  • A practical understanding of the fundamental methods used by data scientists including; statistical thinking and conditional probability, machine learning and algorithms, and effective approaches for data visualization
  • The major components of the Internet of Things (IoT) and the potential of IoT to totally transform the way in which we live and work in the not-to-distant future
  • How data scientists are using natural language processing (NLP), audio and video processing to extract useful information from books, scientific articles, twitter feeds, voice recordings, YouTube videos and much more
  • Courses: 3 Courses
  • Price*: $347 $294.95 USD
*Individual courses can be audited free of charge. The fee applies if you wish to gain recognition of your learning with an ID-Verified Certificate of Completion.

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Data Science MicroMasters
By The University of California, San Diegovia EdX
Gain the critical skills needed to become a data scientist, rated one of the best jobs in America and in demand globally.


Excel in Data Science, one of the hottest fields in tech today. Learn how to gain new insights from big data by asking the right questions, manipulating data sets and visualizing your findings in compelling ways.

In this MicroMasters program, you will develop a well-rounded understanding of the mathematical and computational tools that form the basis of data science and how to use those tools to make data-driven business recommendations.

This MicroMasters program encompasses two sides of data science learning: the mathematical and the applied.

Mathematical courses cover probability, statistics, and machine learning. The applied courses cover the use of specific toolkit and languages such as Python, Numpy, Matplotlib, pandas and Scipy, the Jupyter notebook environment and Apache Spark to delve into real world data.

You will learn how to collect, clean and analyse big data using popular open source software will allow you to perform large-scale data analysis and present your findings in a convincing, visual way. When combined with expertise in a particular type of business, it will make you a highly desirable employee.

Job Outlook
  • There are approximately 215,000 open job positions in Data Science (Source:Indeed.com)
  • There are currently about 31,000 openings for Statistician positions in the US (LinkedIn), offering an average salary of $77,000 (Glassdoor)
  • In the field of Business intelligence, there are around 14,000 openings in the US (LinkedIn) at a $88,000 base salary
  • Careers include data scientist, data engineer, data analyst, statistician, data manager, data architect, business analyst
  • Data Scientist is rated the best job in America for 2017, with a median base salary of $110,000. (Source: Glassdoor)
What You'll Learn:
  • How to load and clean real-world data
  • How to make reliable statistical inferences from noisy data
  • How to use machine learning to learn models for data
  • How to visualize complex data
  • How to use Apache Spark to analyze data that does not fit within the memory of a single computer
  • Courses: 4 Courses
  • Price*: $1400 $1190 USD
*Individual courses can be audited free of charge. The fee applies if you wish to gain recognition of your learning with an ID-Verified Certificate of Completion.

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Big Data MicroMasters
By The University of Adelaide via EdX
Learn how to transform big data into business insights and solutions as you learn essential data science skills and tools to advance your career.


Big data is changing the way businesses operate. Driven by a new scale of data collection that provides massive levels of information, businesses are now able to analyse and gather data insights to make better-informed decisions.

Data scientists and business analysts are in high-demand as companies look to use data to improve their business operations.

In this Big Data MicroMasters ® Program, you will learn tools and analytical methods to use data for decision-making, collect and organise data at scale, and gain an understanding of how data analysis can help to inform change within organisations.

You’ll develop both the technical and computational skills that are in high demand across a range of industries. You’ll develop critical skills in programming for data science, computational thinking, algorithm design, big data fundamentals, and data-driven analysis, with plenty of opportunities to apply and explore your new learnings through a range of case studies.

Click here to view the program syllabus.

Job Outlook
  • A McKinsey Global Institute study states that by 2018, the US will be facing a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using Big Data. (Source: edureka!)
  • A report by Glassdoor shows that the median salary for a Data Scientist is US$116,000. (Source: www.glassdoor.com)
  • The average salaries for jobs with titles related to Big Data are Big Data Scientist, US$123,000, Lead Data Scientist, US$108,000, Data Scientist and Principal Data Scientist US$102,000. (Source: edureka!)
  • Career prospects for people with data science skills and training include data scientist, data engineer, data architect, data administrator, data analyst, business analyst, data or analytics manager and business intelligence manager. (Source: edureka!)
What You'll Learn:
  • How to design algorithms
  • Understand fundamental programming concepts including data abstraction, storage and structures
  • Understand computational thinking which includes decomposition, pattern recognition and abstraction
  • Data-driven problem and algorithm design for big data
  • Interpretation of data representation and analysis
  • Understand key mathematical concepts, including dimension reduction and Bayesian models
  • How to use analytical tools such as R and Java
  • Courses: 4 Courses + Final Project
  • Price*: $1350 $1147.50 USD
*Individual courses can be audited free of charge. The fee applies if you wish to gain recognition of your learning with an ID-Verified Certificate of Completion.

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Introduction to Data Analytics for Business
By University of Colorado Boulder via Coursera

This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish. What you learn in this course will give you a strong foundation in all the areas that support analytics and will help you to better position yourself for success within your organization. You’ll develop skills and a perspective that will make you more productive faster and allow you to become a valuable asset to your organization. This course also provides a basis for going deeper into advanced investigative and computational methods, which you have an opportunity to explore in future courses of the Data Analytics for Business specialization.

Who is this class for: This course is designed to have broad appeal across many types of learners. Anyone who is looking to gain an understanding of how business analytics is actually performed in real organizations will benefit. This course is primarily aimed at professionals who have a bachelor’s degree and/or some exposure to the business world. Those with technical degrees or more advanced business degrees like an MBA will find certain areas easier to absorb, and may get maximum value from the course. However, even undergraduates in non-technical fields or advanced high-school students pursuing internships will be able to follow most concepts and get value from the course. Finally, even professionals who have had deep experiences in methods will likely find value in this course.

Price*: £37/month (7-day free trial): Get unlimited access to this Course, plus 2000+ other courses

*Individual courses can be audited free of charge. The fee applies if you wish to gain recognition of your learning with an ID-Verified Certificate of Completion.

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Data Science Foundations: Fundamentals
By Barton Poulson via Lynda.com

Introduction to Data Science provides a comprehensive overview of modern data science: the practice of obtaining, exploring, modeling, and interpreting data. While most only think of the "big subject," big data, there are many more fields and concepts to explore. Here Barton Poulson explores disciplines such as programming, statistics, mathematics, machine learning, data analysis, visualization, and (yes) big data. He explains why data scientists are now in such demand, and the skills required to succeed in different jobs. He shows how to obtain data from legitimate open-source repositories via web APIs and page scraping, and introduces specific technologies (R, Python, and SQL) and techniques (support vector machines and random forests) for analysis. By the end of the course, you should better understand data science's role in making meaningful insights from the complex and large sets of data all around us.

Topics include:
  • The demand for data science
  • Roles and careers
  • Ethical issues in data science
  • Sourcing data
  • Exploring data through graphs and statistics
  • Programming with R, Python, and SQL
  • Data science in math and statistics
  • Data science and machine learning
  • Communicating with data
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Data Science Ethics
By The University of Michigan via EdX
Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making.


As patients, we care about the privacy of our medical record; but as patients, we also wish to benefit from the analysis of data in medical records. As citizens, we want a fair trial before being punished for a crime; but as citizens, we want to stop terrorists before they attack us. As decision-makers, we value the advice we get from data-driven algorithms; but as decision-makers, we also worry about unintended bias. Many data scientists learn the tools of the trade and get down to work right away, without appreciating the possible consequences of their work.

This course focused on ethics specifically related to data science will provide you with the framework to analyze these concerns. This framework is based on ethics, which are shared values that help differentiate right from wrong. Ethics are not law, but they are usually the basis for laws.

Everyone, including data scientists, will benefit from this course. No previous knowledge is needed.

What you'll learn
  • Who owns data
  • How we value different aspects of privacy
  • How we get informed consent
  • What it means to be fair
Price: FREE - Add a Verified Certificate for $49 USD

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Data Science and Cognitive Computing Pathways
By Cognitive Class (Formerly Big Data University)
Build Data Science and Cognitive Computing skills for free

Cognitive Class (formerly Big Data University) is an IBM initiative to spread big data literacy by providing free access to online courses covering practical skills for working with data. The courses follow the “learn any time” delivery model with no time restrictions to complete them.

Courses cover subjects in Data Science, Big Data, Analytics, Machine Learning, Hadoop, Python, R, Scala, Spark
  • Course Pathways: 18 Pathways
  • Price: FREE
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