In business, data science, artificial intelligence, and machine learning are becoming increasingly important. Organizations that want to stay competitive in the age of big data must build and apply data science capabilities quickly, regardless of industry or size. Data science is the study of deriving usable insights from data by integrating topic knowledge, computing skills, and mathematical and statistical expertise. Data scientists use machine learning algorithms for numbers, text, photos, video, audio, and other data types to create artificial intelligence (AI) systems that can execute jobs that typically need human intelligence. As a result, these systems produce insights that analysts and business users can use to generate significant economic value.
1. Introduction To Computational Thinking & Data Science
It is intended to educate you on a wide range of topics and approaches to help you succeed at computational thinking and data science. This course covers optimization issues, stochastic reasoning, modelling parts of the world, and advanced Python features and modules. The course starts with a tutorial on optimization models.
2. Foundations: Data, Data, Everywhere
The 1st course in the Google Data Analytics Certificate program. These courses will provide you with the knowledge and abilities required to apply for entry-level data analyst positions. Organizations of all sizes want data analysts to assist them in improving their operations, identifying opportunities and trends, launching new products, and making sound decisions.
3. Data Science: R Basics (Harvard University)
The fundamentals of R programming will be taught in this course. You will retain R more effectively if you apply it to tackle a specific problem so that you will utilise a real-world dataset regarding crime in the United States. You will gain the R skills required to address critical questions concerning disparities in crime between states.
4. The Data Science Course 2023 -Complete Data Science Bootcamp
Through 64 sections and 488 lessons, Udemy delivers one of the most popular trending data science courses. The data professionals course contains comprehensive data science training that covers the whole toolbox, pre-processing data, Python coding, statistical analysis, and many other topics to help students gain a deeper understanding of data science.
5. Data Science For Everyone (Datacamp)
Without writing a single line of code, you will learn all you’ve always wanted to know about this field. You’ll learn about the many data scientist positions, core concepts like A/B testing, time series analysis, and machine learning, and how data scientists extract knowledge and insights from real-world data through hands-on exercises.
6. A Crash Course In Data Science
This is a specialized course that will quickly bring you up to speed in the discipline of data science. Our goal was to make this as easy for you as possible while not compromising any critical content. We’ve left out the technical details so you can focus on managing and bringing your team ahead.
7. Process Mining: Data Science in Action
The training introduces the critical process mining analytical methodologies. Participants will gain knowledge of various process discovery algorithms. These can be used to learn process models automatically from raw event data. The course will include simple software, real-world data sets, and practical skills for applying theory in various application fields.
8. Data Science Math Skills (Duke University)
Beginning with fundamental set theory. This course will teach you about unions, intersections, and cardinality, as well as how to express them using Venn diagrams. Set theory has a real-world use in medical testing, where false positives and false negatives occur. Then you’ll look at the properties of the actual number line and how to use interval notation to depict inequalities.
9. 2023 Python For Machine Learning & Data Science Masterclass
This course is planned for students who are already familiar with Python and want to delve deeper into applying those Python skills for Data Science and Machine Learning. An average starting wage for a data scientist can be over $150,000, this course is to help students develop a set of skills that will make them incredibly employable in today’s economy.
10. Data Science With R (Pluralsight)
R is a major programming language used by data scientists. This combination of skills is in extremely high demand in a data-driven economy, with big pay increases as it revolutionizes the world. In this Data Science with R course, you will first learn about data science practice, the R programming language, and how they may be utilized to transform data into meaningful information.
