As a student, I always used to think, ‘I’d take up an online course when I get the time for it.’Now, all I’ve got in my hands is time and there really cannot be an opportunity better than this to develop a few skills and finish some online degrees. In this article, we bring to you a list of the 14 best data science certification courses, tutorials, trainings & degree that you can take up online in this quarantine session and make it more productive.
And, I’m willing to take the risk to assume that like me, almost every person has thought of pursuing an online course at some point, but they couldn’t because they didn’t have the time. So, this problem is solved now, I guess because, well, everything has stopped and everyone has plenty of time. Another problem is to decide which course we should pursue and for that, we are here to help!
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. If that sounds interesting to you, have a look at the list below and select the course that suits you for best data scientist certification prepared by industry experts.
14 Best Data Scientist Certification Courses, Trainings, Classes For Beginners Online
One of the most highly rated and best course collections on data scientist with certification, this course series has many students enrolled in it. The unique thing about this course is that it has a complete section dedicated to Statistics, which is the backbone of datalogy and yet, a lot of courses don’t offer lessons on it.
The prerequisites of this course demand some programming experience and a good understanding of Algebra. Knowledge of Linear Algebra and Calculus isn’t necessary, but is ideal and helpful. Overall, the Data Science specialization is an ideal mix of theory and application using the R programming language.
This course will be a perfect fit for you if you are planning to begin your journey of data scientist. This course is very beginner friendly and will help you learn how to use the power of Python for analyzing data, creating beautiful visualizations with powerful machine learning algorithms.
In this course, you will cover a wide variety of topics, such as programming with Python, NumPy and Python, Connect Python to SQL, Decision Trees, and many more. You can also solve your queries and issues related to the course with the help of instructor's assistant.
Anyone who gets into the field of datalogy as a career would know that Python is one of the most common programming languages. The best part of this course is, It’s easy to learn and is used to perform powerful data science operations.
This course has made it to this list because it mainly acts as a first step along the road, introducing Python functions that are used to prepare and manipulate big datasets as well as the proven techniques for extracting insights from data. It spans over a course of four weeks and can be easily completed by dedicating 3 to 6 hours per week.
Developing a skill with experience in data science? This certification course series consists of 9 courses that help you to acquire skills that are required to work on the projects available in the industry. The lectures cover a wide range of topics including data visualization, analysis, libraries, and open source tools. By the end of the program, you will have multiple assignments and projects to showcase your skills and enhance your resume.
This course has well designed content and covers the entire syllabus elaborately. Besides this, it is very beginner friendly and you do not need to have a prior experience or knowledge of this field. This course can be completed in 3 to 5 weeks.
If you are someone who is looking forward to start their career in the field of DS, this course is the one for you. All the topics required to become a successful data scientist are covered in the order so that it can be easily followed along. Each of the topic builds on the previous one and talks about the ins and outs of each of this area and allows you to get a better grasp on the buzzwords in the realm of data analytics. By the end of this course, you will be well versed in handling real life challenges and you will also be able to apply for further specializations.
The topics covered in this course range from introduction to data and data science, mathematics, statistics, Python, Tableau, advanced statistics, and machine learning. There are 434 Lectures + 80 Articles + 129 Downloadable resources + Full lifetime access. If you really want to kickstart your career in DS, this is where you should begin from.
This course on Udemy will make you understand what Computer Science, Algorithms, Programming, Data, Big Data, Artificial Intelligence, Machine Learning, and Data Science is. You will get to know what problems Machine Learning can solve, and how the Machine Learning Process works.
This course has 60 lectures, 1 article and 8 downloadable resources which come with a lifetime access. To enroll in this course, you will need a high school level understanding of mathematics, and that’s all, you’ll be good to go!
In this Udemy DS course, you will get to learn big data step by step through real Analytics examples. You will be taught Data Mining, Modeling, Tableau Visualization and much more! In this course you will get to experience the firsthand pain that a Data Scientist goes through on a daily basis. Corrupt data, anomalies, irregularities - you name it! But as you will reach the end of this course, you will know:
- How to clean and prepare your data for analysis
- And, to perform basic visualization of your data
- How to model your data
- To curve-fit your data
- And finally, how to present your findings and wow the audience
- The challenging and thought-provoking lectures and homework included in this course will make you feel that real life projects aren’t really that though at all. This course includes 21 hours on-demand videos, 7 articles and lifetime access.
On the list of highest rated courses, this one stands out because it is taught live to the students by the instructor. This is a six week long data science course that covers everything in the entire concept to unify data methods process. Furthermore, not only will you get a certificate upon completion, but since this course also accredited, you’ll also receive continuing education units.
The classes are held twice every week. Students get to join the live class and the instructor answers all the doubts in real time.
This is an entirely free course which aims at breaking down the core topics of the data science process and an introduction to machine learning into three modules. Each module takes roughly an hour to be completed and is concluded with an assessment.
Once you've worked through that, you can choose from several other similarly bite-sized tutorials covering data programming languages, visualization tools, and techniques such as building clustering and regression models.
This course offered by Microsoft will help you in improving your career prospects with perfect combination of theoretical and practical knowledge. The course takes you through concepts and terminology, statistical techniques such as regression, clustering, and classification, and the practical steps needed to build and evaluate models.
Since this course is developed by Microsoft, it essentially focuses on the company’s Azzure framework, but the concepts that are taught are equally applicable in organizations that are tied to competing cloud frameworks such as AWS. It assumes a basic understanding of R or Python, the two most frequently used programming languages in data-driven science.
This course is designed for individuals who already have a basic understanding of computer science or statistics. So, if you are someone who is looking to expand your career towards the fast-growing field of concept to unify statistics, then this platform has plenty of data-driven science course options for you. Created by top industrial and academic institutions of the world you can choose to focus on a particular subtopic or begin from very scratch and go for an all-rounded learning experience. Learn about probability, statistics, and analytics and understand how you can leverage the power of languages like Python and R.
You will learn to extract data from different sources and put them into the desired format. You will also get the chance to build, evaluate and compare models to predict future trends and draw insights.
This series consists of 5 courses which aim to strengthen your basics in the field of data analytics, statistics and machine learning. In this series, you will learn to analyze big data and understand how to make data-driven predictions through statistical inference and probabilistic modeling to extract meaningful data for decision making.
The prerequisites of this series include basic knowledge of college-level calculus, mathematical reasoning, and python programming proficiency to make the most of this certification. You may apply to a variety of job roles after the completion of this certification, including that of a data scientist, data analyst and system analyst to name a few.
This course has been created by Andrew Ng, former head of Google Brain and Baidu AI Group along with professors from Stanford University. It is one of the most popular and looked after online course in the field of data analytics. You will learn about Supervised learning, Unsupervised learning among other key areas and the course includes multiple case studies and applications to help you learn how to apply algorithms to build smart robots.
This course offers a wide range of real-world based case studies give you the opportunity to understand how problems are solved on a daily basis. The flexible deadlines make it easy for the learner to complete tasks and assessments as well.
This course is an 8-module program which spans across 10 weeks and will help you cover every essential topic of data science. This program is specially designed for mid-level to senior managers and individual contributors who want to take their organization to the next level with the data analysis method. During the course, you will learn about basic mathematical and statistical concepts like mean, standard deviation, graphs, histograms, and logarithmic functions, and then you will move on to advanced concepts like forecasting machine learning, advanced regression models, building effective data processing teams, etc.
You can get to interview with industry experts who are driven by data, from leading companies, such as Google, Uber etc. You can also work in 2 week-long labs to focus on hands-on assignments and dig deeper into data analysis.
These are the best data science certification courses that we have picked for you. The best part is that you can take up these courses online. So, go ahead and make beneficiary use of all the time you’ve got and we’ll see you next time with a list of other courses. Till then, good bye, take care and keep learning!
Atifa Haroon, a Professional Content Writer (PCW), is a career expert who has published over 20 in-depth articles on immanenthub since 2019.