10 Best Data Science Courses for Managers [2021 SEPTEMBER][UPDATED]

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If you want to improve your Data Science skills, then we have compiled a list of Best Data Science Courses, Classes, Tutorials, Training, and Certification programs available online for 2021. This list includes both free and paid courses to help you learn Data Science. Also, it is ideal for beginners, intermediates, as well as experts.


10 Best Data Science Courses for Managers [2021 SEPTEMBER] [UPDATED]

1. Data Science (Online) (UC Berkeley Executive Education)

Berkeley-Exective-EducationUC Berkeley Executive Education is a professional e-learning platform that offers a comprehensive data science program for mid-career managers to upskill their organizational decision-making process to develop their careers. The program will provide you with standard techniques utilized to analyze and manipulate data. By the end of the curriculum, you’ll be able to work effectively with data science to drive business decisions and effective outcomes for your business. The course is created by experts who have been in the industry for a long time, driven by data, and get your technical concepts clear with live assignments and feedback. Also, check out our take on Best Computer Vision Courses.


Key USPs – 

– Gain knowledge about probabilistic decision making along with a tutorial on utilizing Jupyter notebook that allows combining rich text, code execution, and data plots and analyses.

– Learn about creating sample data, testing hypotheses, and extrapolating information from sample data that explore linear and curved patterns, price setting, demand, and elasticities.

– Get to know about basic regression models, advanced regression models, forecasting Machine Learning with effective methods.

– Know more about building effective data science teams and understand common pitfalls and strategies to work effectively with data scientists.


Duration: 10 weeks (6-8 hours/week)

Rating: 4.6 out of 5

You can Sign up Here


2. Artificial Intelligence: Strategies for Leading Business Transformation (Kellogg School of Management)

This program is ideally designed for C-level executives, senior managers, and mid-career professionals who want to understand AI’s implications on specific industries. This curriculum will offer you everything you need to understand transformation initiatives using analytics, data, and AI. It is included with eight different modules to give you a comprehensive perspective about AI being utilized in organizations globally to address challenges related to trusted AI. During the video sessions, you will get access to live faculty teaching sessions, real-world applications, understanding from 50 business use cases, and data labs with real-world data sets to learn and apply concepts.


Key USPs – 

– Gain an understanding of AI being utilized in practice to manage operations, customer experiences, and business support functions from 50 case studies.

– Learn about AI applications, leverage proprietary AI frameworks like the AI Canvas, AI Radar, and AI Capability Maturity Model to drive your AI strategy.

– Get access to real-world examples and learn to transform your organization through AI from strategy and capabilities to business and implementation.

– Be able to transform your business operations effectively with the help of artificial intelligence.

– Get a certification from Kellogg Execution Education with 80% on completion of the course.


Duration: 2 months (4-6 hours/week)

Rating: 4.6 out of 5

You can Sign up Here


Review: The overall approach of evaluating every concept via a framework was just too good. The communication and program delivery have been the best experience I have ever had. Every aspect of the program including platform/technical infrastructure exceeded my expectations and this is probably the best online learning experience I have ever had! – Aashish Goyal, Manager, Business Analysis.



3. Post Graduate Certificate Program in AI and Machine Learning (Purdue University)

Purdue UniversityThis post-graduate program is designed to help you learn everything you need to know about AI and Machine learning. It is ideally designed for working professionals like developers or business analysts with adequate programming knowledge. It will help you cover essential concepts like Statistics, Natural Language Processing, Deep Learning, and Reinforcement Learning. The program is designed in collaboration with IBM and Purdue University, which means you’ll be getting industry learning experience from professional tutors. The classes will be delivered via our interactive learning model, including live sessions from global practitioners, labs, and industry projects. Upon completing the curriculum, you’ll be well-equipped with all the aspects of AI and Machine Learning.


Key USPs –

– A comprehensive structure organized to help you learn advanced AI technologies and grow your career in AI, ML, and Deep Learning

– Know about various AI-based technologies, including ML, Deep Learning, Computer Vision, Natural Language Processing, and Speech Recognition

– Obtain a solid understanding of the Python programming language and its libraries to write scripts with Jupyter-based lab environment

– Master machine learning techniques, including supervised and unsupervised learning and hands-on modeling

– Enroll in elective courses to expand your knowledge by learning about NLP, GitHub, and a masterclass from Purdue University


Duration: 12 months, 5-10 hours/week

Rating: 4.6 out of 5

You can Sign up Here


Review: I would give a 5-star rating for the Simplilearn course I took. It helps me understand the content easily through online self-learning videos, and trainers assist us with their enriched knowledge, as well. – Janani Varun



4. Artificial Intelligence: Business Strategies and Applications (UC Berkeley Executive Education)

Berkeley-Exective-EducationThis program is specially designed for senior leaders, senior managers, functional business heads, mid-career experts, data scientists, and analysts. This program curriculum is prepared by UC Berkeley Executive Education to help you explore AI opportunities and boost your careers through new technologies. Enrolling in the courses will introduce you to the basic AI and current AI capabilities to gain more knowledge about automation, robotics, and machine learning. The eight modules will also develop and refine an AI initiative for your business and use AI to put elements into testing throughout the program.


Key USPs – 

– Train yourself by learning the fundamentals about AI and business, robotics, machine learning basics, AI strategy, neural networks, and deep learning.

– Gain knowledge about AI and organizations – building your AI team, key applications of computer vision & natural language processing, and the future of AI in business.

– Get access to live and recorded lectures, applied learning opportunities, case studies, assignments, and other study material.

– Interact with the instructors and other individuals via discussion groups along with real-world examples, live teaching sessions, and a capstone project.


Duration: 2 months (4-6 hours/week)

Rating: 4.5 out of 5

You can Sign up Here



5. Post Graduate Program in Data Science (Purdue University)

Purdue UniversityIf you are interested in improving your existing knowledge while practicing the implementation of data science projects, then this program from Purdue University is a great choice. Created in collaboration with IBM, this practical program will help you learn and understand data science’s core concepts, such as statistics, critical programming languages, machine learning algorithms, and more. The curriculum will allow you to gain various skills required in the data science field, including model building and fine-tuning, exploratory data analysis, inferential statistics, and ensemble learning. You’ll also get the opportunity to join the Simplilearn job assistance program that will provide you with resume assistance and interview preparation.


Key USPs – 

– A theoretical program created with a perfect mix of case studies, theory, and extensive hands-on practicum.

– Get exposure to the key concepts and tools from Python, R, Machine learning, and more while working with hands-on labs and projects.

– Get exclusive benefits with the curriculum, including alumni association membership, hackathons, masterclasses delivered by Purdue faculty, and more.

– Earn yourself a well-recognized certification from both Purdue University and IBM with access to the IBM Cloud Lite account.


Duration: 12 months, 5-10 hours/week

Rating: 4.6 out of 5

You can Sign up Here


Review: Simplilearn is an incredible platform to learn on your own, depending on your availability. All the questions raised about projects are resolved quickly, helping students to complete projects in time. – Palani Somalinga.



6. Post Graduate Certificate Program in Data Engineering (Purdue University – Simplilearn)

Purdue UniversityIf you want to learn the basics and advanced concepts of data engineering to grow your career in the data science field, this curriculum is an excellent option. Created by experienced professionals of Purdue University in collaboration with IBM, this program will teach you the core concepts of data engineering. You’ll gain insights into how to improve business productivity by processing large volumes of data and extracting valuable information. You’ll get the opportunity to get familiar with the Amazon Web Services cloud platform to expand your knowledge about AWS. The program is designed with live online sessions, graded quizzes, practical exams, industry examples, and capstone projects.


Key USPs –

– Get started with your data science journey by learning the essential aspects of data engineering with preparatory courses and projects

– Learn how to navigate the AWS management console while understanding AWS security measures, storage, and database options

– Learn to build the most common Azure services, such as virtual machines, web apps, and SQL databases with key features of Azure Active Directory

– Choose from multiple elective courses to learn extensive topics like PySpark, Apache Kafka, Python for Data Science, and Java Certification training


Duration: 8 months, 5-10 hours/week

Rating: 4.6 out of 5

You can Sign up Here


Review: This platform has enhanced my knowledge of big data and provided me the opportunity to work with experienced industry professionals. I appreciate the tutor’s in-depth knowledge and, the help and support provided by Simplilearn. After the certification, I was able to grab a role change. – Md Azhar Hussain



7. Business Analytics for Leaders – From Data to Decisions (Berkeley Exec Edu)

This online prospectus is designed to help you build the analytics understanding and equip you with an evolving, data-centric world. In this prospectus, you’ll learn how to access, process, and transform data to make it AI-ready. You’ll obtain a solid understanding of business analytics in the real world by citing actual business cases with theoretical applications. The program comprises various learning modules, such as supervised learning for business, reinforcement learning for business, prescriptive analytics, Big Data, and more. During the learning sessions, you’ll also get to examine the scope of supervised learning in the industry with real-world examples. Upon finishing the program, you’ll receive a professional certificate to showcase your skills to employers.


Key USPs –

– Position yourself in the market to gain competitive advantages by capturing data-enabled business opportunities with business analytics

– Learn to build data-based decision-making models across your organization while utilizing data and experimentation to drive innovation

– Generate a virtuous cycle that runs on user engagement, data collection, algorithm design, prediction, and improvement

– Work with various real-world case studies to understand how to imply your practical learning to reality

– Get additional alumni benefits from Berkeley Executive Education, where you can connect with other individuals


Duration: 2 months, 4-6 hours/week

Rating: 4.5 out of 5

You can Sign up Here


Review: I liked the hands-on work and the option to go deeper with the material if you choose. The variety between practice, discussion, live elements, and lectures kept it interesting. – Emily Royalty



8. Business Analytics: From Data to Insights (Wharton University of Pennsylvania)

Prepared by professional trainers of the Wharton University of Pennsylvania, this effective curriculum can help you learn how to make better data-driven decisions to lead your company towards success. Taking this program will enable you to understand how to implement optimization models to particular business problems with low uncertainty and determine the most favorable outcomes for your company. You’ll learn how to utilize data analytics to derive insights into the critical components of the staffing cycle for your business, such as hiring, internal mobility, and attrition. The curriculum is organized with high-quality video lectures, quizzes, practice sessions, and a capstone project to help you test your knowledge continuously.


Key USPs –

– A direct prospectus focused on teaching you the fundamental concepts of business analytics, such as descriptive analytics, predictive analytics, gathering insights, etc.

– Learn to use historical data like rends and consumption patterns to evaluate the forecasts for the future

– Know how to select the right tool for decision-making to create future business strategies and decide the kinds of predictions to develop future strategies

– Learn to define the effective methods of collecting data on customer behavior and use it to make better decisions for your business


Duration: 3 months, 6-8 hours/week

Rating: 4.5 out of 5

You can Sign up Here


Review: The Wharton Executive Education school provided me the right methods, tools, and applications to learn across 3 pillars: Predictive, Prescriptive, and Descriptive Analytics. After several weeks of work and study, I’m very excited to start formulating data-driven recommendations that lead my company toward success in my day-to-day activities. – Francisco Marquez



9. Executive Data Science Specialization (Coursera)

Coursera provides a fantastic specialization program for all managers who wants to enhance their Data Science knowledge. This program consists of four different courses, which include A Crash Course of Data Science, Building a Team, Managing Data Analysis, and Data Science in Real Life. Completing this program will help you learn how to assemble and lead a data science enterprise. You will learn how to employee, accumulate, evaluate, and progress a team with complementary skill sets and roles, as well as you will gain knowledge of the structure of the data science pipeline. After finishing the course, you will be equipped with down-to-earth, practical skills that will help you overcome the common challenges in data science.


Key USPs –

– A comprehensive program that will help you learn how to assemble the right team, ask the right questions, and avoid mistakes that disrupt data science projects

– learn how to navigate the structure of the data science pipeline by understanding the goals of each stage while keeping your team on a target

– Gain extensive sills that will help you grow your business, such as Data Management, Data Analysis, Communication, Leadership, etc.

– Work with hands-on projects with every course that is designed to test your knowledge of data science concepts

– Get a certificate of completion after completing the program


Duration: 1 month

Rating: 4.5 out of 5

You can Sign up Here



10. AI for Business Leaders (Udacity)

Individuals who want to master AI’s foundations to implement it in your business strategically can consider this program from Udacity. Prepared by skilled professionals, this course will help you learn how to leverage machine learning technologies to increase efficiency, corporate power growth, and improve customer experiences. Enrolling in this learning sequence will give you foundational technical knowledge of ML and AI’s business applications for several industries. It’ll be easier to evaluate opportunities to technology into corporate strategy. Once the course is finished, you’ll have to work with a capstone project that will help you learn how to build an AI strategy integrated for your current business.


Key USPs – 

– Understand how to apply probabilistic reasoning to ML and gain a working knowledge of ML approaches like algorithm, model, training set, and more.

– Gain knowledge about the critical data attributes that impact ML model while knowing the differences between optimization, classification, regression, and simulation in ML/AI applications.

– Know more about components of ML model architecture and understand the applications of deep learning.

– Learn how to tag data for supervised learning while understanding the fundamental necessities of AI infrastructure.


Duration: 4-8 (5 hours/week)

Rating: 4.5 out of 5

You can Sign up Here



11. Data Science for Business Leaders (Udacity)

Created in partnership with Alteryx, this executive program is focused on teaching you the advanced concepts of data science. It is ideally designed for business leaders to help them master the strategic decision-making skills for the people, platforms, and processes to leverage data science to its maximum potential. In this program, you’ll learn what data science is, who data scientists are, and what can be done with the help of data science. The program consists of 4 modules, including the capstone project provided to help you test and analyze your learning skills. At the end of the curriculum, you’ll also receive career services from Udacity experts to help you with your career. You may want to check our compilation of Best Reinforcement Courses.


Key USPs –

– Learn how to create or articulate a business strategy with key objectives and identify the openings for data science-based transformation.

– Learn to employ, hire, and guide individuals for a data science organization, as well as how to structure that organization to deliver value.

– Know about the parameters that should be considered while creating data architecture strategy and building machine learning architecture.

– Get support from a technical mentor who will guide you throughout the learning process and answer your queries.


Duration: 4-8 weeks, 5 hours/week

Rating: 4.5 out of 5

You can Sign up Here



12. Professional Certificate in Applied Data Science (Thayer School of Engineering)

Dartmouth Engineering Data Science Professional CertificateCreated by Thayer School of Engineering at Dartmouth, this professional course will help you learn the techniques to use data to solve problems that cannot be solved easily. With this course, you will learn how to develop high-demand skills in today’s job market, such as Data Visualization, Machine Learning, Risk Management, and Predictive Capabilities. Also, you will get a clear understanding of the basic and potential of Python programming for Data Science with live coding sessions and application-based assignments. The course is designed by the expert faculty of Thayer School, so you will be learning experienced instructors who will help you throughout the course. After finishing the course, you will receive a certificate of completion.


Key USPs –

– A thorough course that is included with all the necessary tips and techniques that you need to learn for Applied data science

– Learn how to create visualizations, build linear and logistic regression models, and apply standard machine learning algorithms

– Get one-to-one career coaching and regular live webinars from Emeritus based on your course selection

– Work with rigorous, graded assignments, quizzes, and featured projects that are provided to test your skills in the subject

–  Get personalized career advice beyond your resumes that will help you prepare for a future career in data science


Duration: 6 months, 10-15 hours/week

Rating: 4.5 out of 5

You can Sign up Here



13. Data Science for Executives (London School of Economics and Political Science)

This comprehensive curriculum is prepared by experienced faculty members of the London School of Economics and Political Science to help you master the essentials of data science. This curriculum will provide you with a broad overview of the core vocabulary and data science methods, data analytics, and machine learning. The program is structured in a simple yet effective manner to offer a comfortable learning experience. With this curriculum, you will gain a top-level understanding of various data science methods, such as data management, data analysis, and statistical learning. After concluding the program, you’ll also earn a digital certificate to share with employers and your LinkedIn profile.


Key USPs –

– A detailed introduction and overview of the data science concepts with real-world examples and practice exercises.

– Learn about data science analysis and regulation with topics like hypothesis testing, statistical significance, regression analysis, and standard association measures.

– Know about the recent developments in AI, such as embeddings, neural networks, and deep learning.

– Learn how to collect and interpret survey data by covering survey search approaches, statements and scales, good and bad practices, etc.

– Learn how social listening helps derive actionable insights from social media and textual data.


Duration: Self paced

Rating: 4.4 out of 5

You can Sign up Here



14. Data Science for Leaders (DataCamp)

This is amongst one of the best Data Science programs available online, as it will help you learn how to use data science to strengthen your organization. This program consists of four different courses, which include Introduction to Data Science, Data Collection and Storage, Analysis and Visualization, and Prediction, amongst which the first course is absolutely free to enroll. Taking this program will help you learn the skills that you need for your team and how you can structure that team to meet your organization’s needs. At the end of the course, you will be very well equipped with the knowledge of a variety of real-world data science applications.


Key USPs –

– Get a clear understanding of data sources that can be used by your company to how to store that data on available platforms

– Discover various ways of analyzing and visualizing your organization’s data with dashboards and A/B tests

– Learn about exciting topics included in machine learning, such as clustering, time series prediction, natural language processing, deep learning, and explainable AI

– Cover the essential concepts of data science, such as data science workflow, and how data can be applied to real-world business problems

– Study from your relaxation zone with complete flexibility of the course


Duration: 4 hours

Rating: 4.5 out of 5

You can Sign up Here


Review: “DataCamp is the top resource I recommend for learning data science.” – Louis Maiden


Those were some of the best data science courses for leaders and managers available online. Hope you found a course suitable for your needs.