Although pursuing a course in data science sounds appealing, it can be difficult to choose the right one.
Clive Humby (UK Mathematician, architect of Tesco’s Clubcard) stated that data is the new oil. It is only valuable when it is refined. Data science professionals will be in high demand as the world embraces data-driven business models.
Although a course in data science sounds appealing, you might wonder what a person can do to help with data analysis.
Machine learning models will be handling data processing in the future. This is the truth: Business people are often skeptical of processes they don’t understand.
Best free Data Science Courses
They require humans to bridge the gap between data and users. Data Science is a career that will not die. These are the Best free Data Science courses for Beginners that you can take in 2022, whether you’re a beginner or an expert.
1. Introduction to Data Science course: by Simplilearn
Simplilearn provides a free introduction to data science course that is self-paced and helps learners grasp the basics.
This course covers Python libraries for Data Science and essential Data Science algorithms. It also covers the job skills needed to work in data science.
This course covers exploratory data analysis, descriptive statistics and inferential statistics. It also includes model building and fine-tuning.
Natural language processing, ensemble learning, and supervised and unsupervised learning.
2. Free data science courses: by Datacamp
Datacamp offers a variety of data science courses, including an introduction to Python, R, SQL and SQL for marketers.
World in Python provides access to many data sets and introductory courses in probability, data labs, and inferential statistics.
Even if you’re a beginner, the courses are easy to understand and comprehensive. The career and skills track is a great way to prepare for your future career. It’s definitely worth it.
3. Learn Python for Data Science: by Analytics Vidhya
This course is for beginners who have no prior coding or data science knowledge. This course covers all essential concepts that you need to be familiar with Python language.
Operators, variables, conditional loops and libraries are all covered in this course. They also include data manipulation, visualisation, indexing data frames, visualisation, and data manipulation. After completing the course, you will receive a block-chain-enabled certificate that has lifetime validity.
4. Course in data visualisation: by Harvard University
This professional certificate program in Data is 8 weeks long and covers basic data visualization and exploratory analysis. Three real-life examples are used.
ggplot2 is a data visualization program for R. It teaches concepts like data visualization principles, communicating data driven findings, creating custom plots using ggplot2, and identifying the weaknesses in commonly-used plots.
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5. Introduction to Data Science using Python: by Udemy
Udemy’s 2.30 hour course teaches Python basics. It doesn’t dive into statistical areas but covers the essential concepts needed to be familiar with Data Science, Analytics and Data Science.
This course is for anyone interested in learning Data Science and making a career out of it, or just to get a better understanding of Data concepts that can be used in their job.
This course covers Python & Scikit tools and types of machine-learning algorithms. It also covers basics of Anaconda, Jupiter, Python code, and other topics.
This program also covers advanced concepts such as fitting a machine-learning model, validation through model selection and finalizing the optimal model.
6. Data Science, Machine Learning, Data Analysis, Python & R: by Udemy
This free online course in data science covers the basics of Data Science and Artificial Intelligence. It lasts approximately 8 hours.
This course covers topics such as Data analysis, visualisation and loading methods using Python or R. It also includes practical exercises that are based upon real-life situations.
You can also download R and Python code templates for your own projects in this course. Although the course does not award a certificate, it can be used to build a solid foundation in data analysis.
7. IBM Analyst Professional Certificate: by Coursera
This course is open to students who have or do not have a college degree. It does not require any prior programming or statistical knowledge.
You will get hands-on experience as you work with various data sources and project scenarios. The course is 100% online and can be completed in a convenient time frame. You will also receive a certificate that you can share after the course.
8. SQL for Data Science, the University of California: by Coursera
The University of California at Davis offers a beginner’s course in SQL concepts. This course will teach you how to identify data, create a SQL query, use SQL commands and create an analysis table using multiple queries. You’ll also learn how to manipulate strings, dates and numeric data with functions.
The course has a flexible deadline that allows for flexibility in your schedule. After the completion of the course, you will receive a certificate that can be shared.
9. Python for Data Science, AI &Development: by IBM
Coursera offers one of the most popular free data science courses. It allows you to learn Python and enhance your programming skills.
For Python and other programming languages, no programming experience is required. This course will teach you Python basics, including data analysis.
You’ll also get hands-on experience at the end of the course. This course is available as part of several Specialization Certificate or Professional Certificate Programs. You will not only earn a certificate from Coursera but also a digital badge by IBM.
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10. Introduction to Data Science: by Udacity
The beginner course in Data Science will teach you the basics of data science, such as data manipulation, statistical analysis and machine learning, data communication with information visualization, working with big data, and data communication.
Instead of being able to focus on one topic in detail, the classes will help you become proficient in many topics. This allows you to learn and practice basic data science techniques.
