10 Best Data Science Courses for Managers [2021 APRIL] [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 APRIL] [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. Berkeley Executive Program in Business Analytics (Berkeley Exec Edu)

Berkeley-Exective-EducationThis six-month inclusive program will take you through a learning journey to dive deeper into the world of applied data science and analytics. In this program, you’ll learn about the tools and techniques used to build and lead data science teams through data-driven decision-making. The curriculum is designed with a step-by-step approach to provide you a global perspective on data science and analytics with five different modules. Besides, you’ll get the opportunity to take three in-person modules at the UC Berkeley campus, led by esteemed faculty. Completing the program with given projects will also provide you with a certificate of completion.

 

Key USPs –

– Learn and understand how to promote a data-driven culture, translate business problems into data problems, etc.

– Get a unique combination of theory and practice to accelerate your career and drive data-driven performance in your organization.

– Gain a thorough understanding of theory and the ability to apply data science decision-making in your organization with developed leadership skills.

– Know about the best practices that can be implemented in your company to assemble and lead data science teams.

– Be able to build a data-driven culture and data-driven policy for your organization.

 

Duration: 11 months

Rating: 4.5 out of 5

You can Sign up Here

 

 

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. 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

 

 

7. 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

 

 

8. 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

 

 

9. 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

 

 

10. Data Science for Executives Professional Certificate (Columbia Engineering)

This exclusive program is prepared to help you master the basics of data science and gain understanding of the latest data science tools and applications. It is offered in collaboration with edX, so if you have edX membership, you can enroll in the program from there as well. It consists of three courses taught by experienced professors of the Columbia University Data Science Institute. Each course in the program is included with quality video lectures, practice sessions, quizzes, short tests, and exercises. Upon successfully completing the program, you’ll receive a digital certificate from the university that can be shared with employers. Do have a look at our list of Best CCDA Courses.

 

Key USPs –

– Get introduced to the core principles of machine learning and algorithms while developing a basic understanding of predictive analysis.

– Learn to use data patterns to make informed decisions and predictions with access to real-world examples from healthcare.

– Know about the relationship between data science and natural language and audio-visual content processing while studying research projects collected from scientific journals.

– Cover multiple topics related to statistical analysis, such as data collection, analysis, inference, conditional probability, basics of linear regression, and more.

 

Duration: Self paced

Rating: 4.5 out of 5

You can Sign up Here

 

 

11. 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

 

 

12. 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.