The editors at Solutions Review have compiled this list of the best data science courses and online training to consider for 2020.
Data science is one of the fastest-growing fields in America. Organizations are employing data scientists at a rapid rate to help them analyze increasingly large and complex data volumes. The proliferation of big data and the need to make sense of it all has created a vortex where all of these things exist together. As a result, new techniques, technologies, and theories are continually being developed to run advanced analysis, and they all require development and programming to ensure a path forward.
With this in mind, we’ve compiled this list of the best data science courses and online training to consider if you’re looking to grow your predictive analytics skills for work or play. This is not an exhaustive list, but one that features the best data science courses and training from trusted online platforms. We made sure to mention and link to related courses on each platform that may be worth exploring as well. Click Go to training to learn more and register.
Description: The art of uncovering the insights and trends in data has been around since ancient times. In this course, you will meet some data science practitioners and we get an overview of what data science is today. This course can be applied to multiple Specializations or Professional Certificates programs.
Related paths/tracks: Tools for Data Science (IBM), Data Science Methodology (IBM), Introduction to Data Science in Python (University of Michigan), Data Science Match Skills (Duke), Databases and SQL for Data Science (IBM)
Description: In this non-technical course, you’ll be introduced to everything you were ever too afraid to ask about this fast-growing and exciting field, without needing to write a single line of code. Through hands-on exercises, you’ll learn about the different data scientist roles, foundational topics like A/B testing, time series analysis, and machine learning, and how data scientists extract knowledge and insights from real-world data.
Description: Edureka’s Data Science Training lets you gain expertise in machine learning algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. Data Science Training encompasses a conceptual understanding of statistics, time series, text mining, and an introduction to deep learning. Throughout this data science course, you will implement real-life use-cases on media, healthcare, social media, aviation and HR.
Related path/track: Python Certification Training for Data Science
Description: The first in edX’s Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states.
Related paths/tracks: Data Science: Machine Learning, Data Science: Visualization, Data Science: Probability, Data Science: Inference and Modeling, Principles, Statistical and Computational Tools for Reproducible Data Science, Data Science: Linear Regression, Data Science: Productivity Tools, Data Science: Wrangling
Description: The bootcamp will cover different aspects of data science with hands-on exercises and industrial use-cases. Major modules include Python for Data Science, Data Analysis, Practical Machine Learning, Large Scale Machine Learning, Deep Learning, and Business Perspectives of Data Science. This well-structured offering is by Data Science Initiative (DSI) – a team of industry and academia experts
Description: This data scientist course lets you master skills, such as data analytics, R programming, statistical computing, machine learning algorithms, k-means clustering, and more. It includes multiple hands-on exercises and project work in the domains of banking, finance, entertainment, etc. Intellipaat’s Data Science Certification is well recognized across 500+ employers helping you to land in your dream job.
Platform: LinkedIn Learning
Description: This course provides an accessible, non-technical overview of the field, covering the vocabulary, skills, jobs, tools, and techniques of data science. Instructor Barton Poulson defines the relationships to other data-saturated fields such as machine learning and artificial intelligence. He reviews the primary practices: gathering and analyzing data, formulating rules for classification and decision-making, and drawing actionable insights. He also discusses ethics and accountability and provides direction to learn more.
Related paths/tracks: Introduction to Data Science, Learning Data Science: Understanding the Basics, Python for Data Science Essential Training Part 1, Data Science Foundations: Data Mining, Learning Data Science: Tell Stories With Data, Data Science Foundations: Data Engineering
Description: Mindmajix Data Science with R Training develops knowledge and skills to visualize, transform, and model data in R language. It helps you to master data science with R concepts such as data visualization, data manipulation, machine learning algorithms, charts, and hypothesis testing through industry use cases, and real-time examples. It also offers hands-on projects to enhance your skills and move ahead in your career.
Related path/track: Data Science with Python Training
Description: In this course, you will gain the ability to transform data into actionable insight. First, you will learn what data science is. Next, you will discover why data science is important for you and your business. Finally, you will explore how to get started becoming a data-driven organization. When you’re finished with this course, you will have the skills and knowledge of data science needed to transform data into actionable insight.
Description: The Data Science Certification with R programming training covers data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language. You will learn about R packages, how to import and export data in R, data structures in R, various statistical concepts, cluster analysis, and forecasting.
Related path/track: Data Science with Python Course
Description: This course provides business leaders and managers with strategies and guidelines for how best to solve the human capital, technological, and management challenges of building data science into the business. Students will gain skills in identifying opportunities for data science across many functional areas of the business, as well as learn the tools to prioritize and execute on those opportunities as part of a data science initiative.
Description: This may be the first training program that solves the biggest challenge in entering the data science field – having all the necessary resources in one place. Moreover, Udemy’s focus is to teach topics that flow smoothly and complement each other. The course teaches you everything you need to know to become a data scientist at a fraction of the cost of traditional programs (not to mention the amount of time you will save).
Related paths/tracks: Data Science A-Z: Real-Life Data Science Exercises Included, Machine Learning, Data Science and Deep Learning with Python, Statistics for Data Science and Business Analysis, R Programming A-Z: R for Data Science with Real Exercises!
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