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10 best courses that can skyrocket your data science career. Let us have a look

Data science is a journey, that leads to the real world of technology and analytics and opens many doors of opportunities. Whether you are - a beginner or you want to improve your skills, the right courses are the key to solid preparation. This assembled list of ten exceptional courses is to remind you of the starting point for data science learning. The courses start from the introductory tutorials and go up to the comprehensive programs, in which the basic concepts, tools as well as techniques are covered which are necessary to be at the top of the ladder in this dynamic field. Delve into data manipulation, machine learning, and statistical analysis with expert-led instruction and hands-on projects at a more detailed level. Do not miss the chance to learn data science education and thus be able to compete and improve in a world where data are the key tools. Now, let's see these transformative courses which can be the ones that shape your data science journey.

Coursera: Johns Hopkins University offers the Data Science Specialization which is a discipline that bridges the gap between computer science and other areas such as statistics, problem-solving, data mining, machine learning, and information systems.

This course, created by Johns Hopkins University on Coursera, allows you to learn about the key topics in data science such as R programming, data visualization, and machine learning. You will be involved in projects that require the use of your hands and gain practical experience with tools like RStudio that are widely used in the industry.

edX: The Data Science Micro Masters Program by UC San Diego is an online program that is designed to offer users a rigorous and practical experience in the field of Data Science, in addition to a broad knowledge of the subject. The Data Science MicroMasters Program from UTS on edX offers a thorough overview of data science. This curriculum teaches Python programming, data analysis, machine learning, and big data technologies.

Udacity: Introduction to Data Science Nanodegree is a program that teaches you the basics of how to deal with data and provides support to the industries for a demand of its new occupational skill. Udacity's Intro to Data Science Nanodegree is for beginners and it provides knowledge on the basic concepts which are data wrangling, data visualization, and statistical analysis using Python and SQL. In the course, you have real-world projects to show your abilities.

DataCamp: Data Science the actual information comes to life with a new perspective. DataCamp has a hands-on Introduction to Data Science course in which learners get to know the fundamentals of data manipulation, visualization, and statistical analysis in Python. The course is designed for the novices and has hands-on coding activities for practice.

Coursera: Machine Learning by Stanford University is an artificial intelligence that is created by learning algorithms with the help of data to identify patterns or solve problems. The machine learning course with the name of Andrew Ng, offered by Stanford University, and taught by it on Coursera, is a popular one that gives a deep ride into the machine learning algorithms and techniques. Produce a sound ground in supervised and unsupervised learning, neural networks, and many other areas.

LinkedIn Learning: The Data Science Foundations, a field that gives you values to support you in your life, has a lot of advantages to it.

The Data Science Foundations course of LinkedIn Learning is a classical course that deals with the main concepts of data science such as data exploration, data cleaning, and modeling. Learn the skills that are useful in daily life by practicing using tools such as Excel, Python, and R.

Kaggle Courses: Python and Pandas are a perfect blend of the two worlds, which means they can be used to track things such as website searches, and the usage of mobile apps.

Kaggle provides courses on Python and Pandas that are crucial for data manipulation and analysis. Fill this track to survey the data manipulation techniques using Python's Pandas library to master.

Springboard: Data Science is the art of designing and analyzing a solution to a problem through data.

Springboard's Introduction to Data Science class is perfect for beginners and it is a course that covers topics like data wrangling, exploratory data analysis, and machine learning. The students will be able to get guidance and work on the projects and thus, will be, as a result, of the benefits of mentorship and hands-on projects.

Coursera offers an IBM Data Science Professional Certificate that is a path to the data science career of the certified.

Logically speaking, earning a professional certificate in data science from IBM from Coursera is the best way to superior a career in the data science field. This program includes Python, data analysis, machine learning, and data visualization, and the capstone project, which is the final project, is related to these topics.

MIT OpenCourseWare: Computational Thinking and Data Science is an introduction to the study of Computer science, where one learns about the theory and application of various techniques and concepts to solve problems.

The MIT OpenCourseWare is a free course that educates computational thinking and basic data analysis using Python. Go through data science concepts with the learning of the programming basics.