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Top 5 Pluralsight Courses For Data Scientists to Learn in 2022 - Best of Lot

Hello guys, if you are learning Data Science and got a Pluralsight membership but are not sure which Pluralsight courses to join to better your Python, Data Science, Data Visualization, and other data-related skills then you have come to the right place. Earlier, I have shared the best Pluralsight courses to learn Java, Python, React.js, and Javascript and today, I am going to share the best Pluralsight courses for Data Science and Data Scientists. These are my favorite Pluralsight courses on the topic as well and even if you are just starting with Data Science you can join these courses to learn a lot. 

 Most people call data science the sexiest job in the 21st century because of the benefits created from this industry as they help companies build better products and drive decisions and enhance the user experience of their services. 

Glassdoor says that the median salary for a data scientist is $117,212 per year. This salary comes after learning many skills that a data scientist should have to get this position, such as data analytics, data visualization, machine learning, and more.

By the way, you would need a Pluralsight membership to join all these courses which cost around $29 per month or $299 per year (14% discount) but you can now get it for just $149 as Pluralsight is offering a whopping 40% discount.  You can also use this opportunity to renew your Pluralsight membership and get ready to learn and upskill yourself in 2022. 





5 Best Pluralsight Courses for Data Scientists and Data Analysts in 2022

Without wasting any more of your time, here is a list of the best Pluralsight courses to learn Data Science, Data visualization, Data Analysis, and useful tools like Tableau for beginners. The list contains mostly beginner-level courses but I have also included a couple for intermediate and experienced developers. 


1. Doing Data Science with Python

If you have just a basic understanding of the python language and want to get a glimpse of the data science industry, I highly recommend taking this course to show you how to work on end-to-end data science projects. 

 You will start this journey by learning how to extract data from different sources. Then you will learn to explore your data using Pandas library, use indexing & filtering, learn simple statistics, create other plots. 

Finally, use machine learning algorithms to make predictions. Overall a great course to start with Data Science for Python developers on Pluralsight. 

Best Pluralsight course to learn Data Science with Python



2. Introduction to Data Visualization with Python

Let’s complete this journey with data visualization, but this time with another python package called matplotlib, the famous visualization library that most people use because it is easy to learn and gives you a powerful dashboard. You how to use pandas first to import and load your data. 

Then you will understand when to use histograms and create one using matplotlib. Also, you will make time series with line charts and when to use scatter plot and create one using matplotlib and the same for Bar graphs.

YK Sugi is also one of my favorite instructors, I have been watching his Youtube channel CSDojo for quite some time and really liked his clean and to-the-point explanations. 

Best Pluralsight course to learn Data Visualization



3. Pandas Fundamentals

Data is the core of data science. Before you start visualizing your data to get insights, you have processes such as importing, cleaning, filtering, and more before you will have your desired output.

This course will introduce you to the Pandas library that is used for this purpose. You will start your journey by importing & reading your data, exploring the data types used in the Pandas package, learning how to use indexing to access a particular element, and using filtering. 

Finally, work with groups and create various plots. Overall a fantastic Pluralsight course to learn Pandas library for Data normalization, transformation, and analysis. 

Best Pluralsight course to learn Pandas




4. Data Management and Preparation Using R

Data management is an essential part of data science because it involves gathering, cleaning, and preparing data for analytics and getting insights into your data. If the data is not in the proper form and shape, that means all your analytics is wrong. 

One of the best languages for data management and analysis in the R programming language, and this program will teach you how to import your data from different resources, clean your data from any unwanted data, and explore data querying and filtering big data.

Best Pluralsight course to learn Data Science with R






5. Build Your First Data Visualization with Bokeh

Another important thing that every data scientist must know is data visualization, which comes after data management to transfer the data into graphs that have meaning for your business and drive the decision. 

There is a python library called Bokeh that you can use for this purpose, and this course will teach you to use this library. 

You will create your first plot, loading & view your dataset, visualize your categorical data and finally, add some interaction to your visualization, which is the feature that makes Bokeh special among other visualization libraries.

Best Pluralsight online course for Data Visualization





6. Build Your First Dashboard with Tableau

Making data visualization is not only by learning the programming languages such as Python and R then using their libraries for that purpose but also by using a simple software called Tableau. 

You will learn to use Tableau for data visualization, starting by importing and joining your dataset in Tableau and then creating simple charts such as line charts, bar charts, pie charts, and heat maps.

Finally, build a Tableau dashboard and learn to share your insights with your team.

Best Pluralsight course to learn Tableau



7. Building Image Classification Solutions

Deep learning is an essential part of data science since it makes predictions based on previous data. Image classification is a part of deep learning where you can provide the algorithm with a set of images to classify unseen photos. 

This course will teach you these skills using neural networks and starting your journey learning the basics of computer vision then understanding the concept of deep learning and neural networks. 

You will create your deep learning model and make a prediction. Finally, learn how to use transfer learning and its concepts.

Best Pluralsight course to learn Image Classification



Conclusion

That's all about the best Pluralsight course for Data Scientists and Machine Learning Engineers. As I said, you would need a Pluralsight membership to watch these online courses. If you don't have one, you can join Pluralsight now as they are offering a 40% discount or you can also use their 10-day-free-trial to get a glimpse of any of these best data science courses. 

Data science is a vast industry and overgrows more than most other industries and will be an excellent career to be part of. Learning this industry requires programming, data analysis, visualization, statistics, machine learning, and more. You have to explore as much as possible and solve problems to get real-world experience in this field.

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Thanks for reading this article so far. If you have any other reasons why Python is so popular among Data Scientists and Why Python is the best programming language for Data Science and MachineLearning, then please chip in and share it with us.

P. S. - If you are looking for the best Udemyc courses to learn Data Science and Machine Learning then you can also checkout Machine Learning A-Z by Kirill Eremenko and his SuperDataScience team on Udemy. This is a great course to learn Data Science and Machine learning with Python and you can also get it for a 90% discount on Udemy sales now. 


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