Best Resources to Learn Data Science

Best Resources to Learn Data Science

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Rashmi
Rashmi Karan
Manager - Content
Updated on Dec 2, 2021 10:52 IST

According to the 2020 LinkedIn Emerging Jobs Report, the demand for data science specialists grew by 46.8% compared to that in 2019. There has been an increasing demand for skilled data scientists in banking, telecommunications, research, and many other fields. Data science skills that companies demand are Machine Learning, R, Apache Spark, Python, Big Data, SQL, Data Mining, Statistics, and Hadoop. Learning these skills can give you a notable competitive advantage against others. In this article, we talk about the necessary skills that you should develop to excel in your career as a data scientist and top resources to learn data science that can help you to develop and sharpen these skills further.

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To learn more about data science, read our blog – What is data science?

Must-Have Data Science Skills

Before we move on to explore the online resource to learn data science, let’s check out which skills you need to develop to grow further in your career as a data scientist –

  1. Mathematical skills, especially linear algebra, logical reasoning, and advanced knowledge in statistics
  2. Knowledge of databases and data analysis programming languages ​​such as R, Python, and SQL
  3. Big Data infrastructure, and big data tools such as Hadoop, MapReduce, and Spark
  4. Knowledge of data science concepts like Data Mining, Machine Learning, and Software Engineering
  5. Ability to analyze a project under various aspects, thinking like a project manager, a trend analyst, translating high-tech ideas into new ways to obtain profit
  6. Strong business acumen and innovative capabilities
  7. Knowledge of product development

Also Read –  Top Industries Hiring Data Scientists in 2021

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Online Resources to Learn Data Science

Just learning the concepts of data science won’t help, you would need some hands-on experience to master the skills you have learned. It is a good idea to spend some time working with data and sharpen your practical data science skills with the help of these top resources.

Kaggle

If you are a data science enthusiast then you must have come across Kaggle. In Kaggle, you can explore more than 50,000 public data sets, courses, and notebooks shared by data science experts. You can find a number of data science projects, called kernels. These projects are contributed by several members. You will be able to see different analyses and visualizations in an extensive code repository.

Medium

Medium is among the most popular resources to learn data science and related topics. The platform has several data science publications that can help you hone your data science skills. You can learn about topics like data science, machine learning, statistics, Python, data visualization, programming, artificial intelligence, etc.

DataCamp

DataCamp is possibly one of the most important resources to learn data science. Its list of free courses, the design of its programs, the practical exercises, and its interface makes it one of the best sites to learn Data Science. More than 3 million Data Science enthusiasts are learning through its website and app.

Career Prospects in Data Science and Artificial Intelligence

Towards Data Science

This is not just any page, Towards Data Science is possibly one of the most widely read Data Science journals worldwide. More than 1,500 experts from the fields of data science, machine learning, artificial intelligence, and data visualization are contributors to this platform. If you also don’t want to miss the latest news, you can subscribe to their newsletter. They post relevant content every week.

Check Out Our Data Science Courses

Data Science Dojo

If you like clear, simple, and easy-to-follow video tutorials, Data Science Dojo is your go-to resource. With over 30,000 subscribers to its YouTube channel, this academy contributes greatly to data science. Enter their YouTube channel and browse their playlists. You can find a bit of everything: from introductory videos to R or Python, to more advanced classes in Natural Language Processing or Machine Learning Models.

Data Science Central

Data Science Central can be defined as an online resource center for almost any topic related to Data Science and Big Data. This blog covers the needs of someone interested in the sector with a wide range of topics related to analysis, technology, tools, data visualization, and coding. Data Science Central updates its blog page regularly and has a forum to ask questions or discuss interesting and trending topics.

To know more about the job profile and responsibilities of a Data Scientist, refer to our blog – What is Data Scientist?

GitHub

GitHub is among the most popular data science resources among budding data scientists who wish to get their hands dirty working on data science projects. The platform covers several projects tutorials and projects on data science and machine learning. Apart from being a very popular data science resource, GitHub is the perfect platform if you wish to build your data science portfolio or learn project organization.

Datafloq

Datafloq is an excellent resource to learn big data and data science. This resource primarily covers the business aspects of big data and the strategies to make data science work for organizations. You can also learn about the latest technology topics such as Blockchain, deep learning, machine learning, and artificial intelligence. Datafloq has a huge repository for articles and information and connects professionals through job listings, vendors, events, and webinars.

Explore Statistics for Data Science Online Courses

Khan Academy

You should check out Khan Academy for free lessons covering both beginner and advanced data science concepts such as introduction to SQL, data analysis, finding patterns in datasets, statistics, and probability.

Conclusion

A strong profile on any of these platforms can help you gain more experience and create a good portfolio for your job hunt. It will also enhance your employability and demonstrate problem-solving and teamwork skills, some of the characteristics necessary to become a good data scientist. I hope these resources to learn data science help you become a skilled data scientist.


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About the Author
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Rashmi Karan
Manager - Content

Rashmi is a postgraduate in Biotechnology with a flair for research-oriented work and has an experience of over 13 years in content creation and social media handling. She has a diversified writing portfolio and aim... Read Full Bio