April 11, 2022
while following a data science course It seems like a good prospect, and choosing the right person is very difficult.
As Clive Homby, British mathematician and Clubcard engineer from Tesco said, data is the new oil and is only valuable when refined. As the world prepares to embrace data-driven business models, it is sure to generate a huge demand for data science professionals. While pursuing a course in data science seems like a good prospect, one might also consider what a human can contribute to data analysis when machine learning models call snapshots with future data processing. Here’s the truth: many entrepreneurs do not trust processes they do not understand. They need humans to act as a bridge between data and its users. Data science as a profession is here to stay. So, be it a fresher or a professional; If one needs to learn data science for career advancement or just to test the waters, here are the top 10 free data science courses available in 2022.
1. Introduction to Data Science Course from Simpliearn:
Simplilearn offers a free introductory data science course consisting of self-paced videos that help learners understand the basics. It deals in the data science Python libraries, the basic data science algorithms along with the job skills required for a data science job. Concepts covered in this course include exploratory data analysis, descriptive statistics, inferential statistics, model building and fine-tuning, supervised and unsupervised learning, natural language processing, group learning, etc.
2. Free Data Science Courses at Datacamp:
Datacamp provides a range of free data science courses including Introduction to Python, R, and SQL for Marketers and Data. world in Python, which allows access to a variety of datasets for introductory courses in probability and data parameter, inferential statistics, etc. The courses are comprehensive and easy to digest especially if you are a beginner. Her career path and skills will prepare you for the next career and she is definitely worth a try.
3. Learn Python for Data Science with Analytics Vidhya:
This course is designed for beginners who have no coding or data science experience. The course syllabus covers all the basic concepts to get you familiar with the Python language. Topics covered in the course include operators, variables, conditional loops, libraries, data frame indexing, data manipulation, visualization, etc. A Blockchain Enabling Certificate will be issued with lifetime validity, upon completion of the course.
4. Data Visualization Course from Harvard University:
It is an 8-week professional certificate program in Data, which covers the basics of data visualization and exploratory data analysis. They use three real-life examples and
ggplot2, the data visualization package for the R statistical programming language. In this course you will learn concepts such as principles of data visualization, communicating data-driven results, using ggplot2 to create custom plots, identifying weaknesses in widely used plots, etc.
5. Introduction to Data Science with Python by Udemy:
This 2.30 hour course offered by Udemy teaches the basics of Python although it doesn’t go too deep into the statistical areas, it covers all the concepts needed to make you familiar with data science and analytics. This course is for anyone who wants to learn data science from scratch and pursue a career or is just interested in learning data concepts to apply in their careers. Concepts covered in the course include Python & Scikit tools, types of machine learning algorithms, Anaconda basics, Jupiter and Python code. Advanced concepts such as machine learning model fitting, validation using model selection, and optimal model completion are also taught in this program.
6. Data Science, Machine Learning, Data Analysis, and Python & R by Udemy:
This free online data science course, which lasts approximately 8 hours, deals with the basics of data science, artificial intelligence, machine learning, and deep learning. The course includes topics on data analysis, visualization, and loading methods using Python and R. The course comes with practical exercises based on real-world exercises. In this course, you can download Python and R code templates to use in your own projects. Although it does not offer a certificate upon completion of the course, a good foundation in data analysis can be sought.
7. IBM Analyst Professional Certification from Coursera:
This course is suitable for students with or without undergraduate degrees and does not require prior knowledge in programming or statistics. The course gives you hands-on skills, where you can work with different data sources, project scenarios, and data analysis tools including Excel, SQL, Python, Jupyter Notebooks and Cognos Analytics. It is a 100% online course, it has a flexible schedule and you can get a shareable certificate upon completion of the course.
8. SQL for Data Science, University of California by Coursera:
This entry-level course offered by UC Davis, University of California, teaches SQL concepts that are an integral part of the Data Scientist’s toolkit. In this course, you will learn how to select a subset of data, write an SQL query, use SQL commands, create a parse table from multiple queries, and manipulate strings, dates, and numeric data using functions. It has a flexible deadline to enable a flexible schedule to complete the course. A shareable certificate will be issued upon completion of the course.
9. Python for Data Science, AI & Development, IBM:
One of IBM’s best free data science courses at Coursera allows you to learn Python in a way that enhances your programming skills. No prior programming experience for Python or other programming languages is required. In this course, you will learn the basics of Python, including data analysis, and have hands-on experience by the time you complete the course. This course is part of a multidisciplinary or professional certificate programme. Aside from earning a Certificate from Coursera, you will also receive a digital badge from IBM.
10. Introduction to Data Science by Udacity:
The Data Science Beginners course makes you familiar with core topics in data such as data processing, data analysis with statistics, machine learning, data communication with information visualization, and working with big data. Classes will make you proficient in a variety of topics rather than focusing on a few topics in depth. This gives an opportunity to sample and apply basic techniques of data science.
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