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10 Must Watch Data Science Tutorials Youtube Videos

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Written by Ayush

Data Science Tutorials Youtube Videos: There are multiple resources available on the internet from where you can grab the information about Data science. Either you are a beginner or a skilled professional, there are online training courses for all to uplift or enhance their data skills. The most cheapest resource from where you can have a detailed knowledge of various aspects of Data science is Youtube. There are multiple video tutorials, webinars, lectures video available on Youtube that will make you more familiar with the Data science. These days if not everyone then most of the people is getting attracted toward the field of big data due to the vast career opportunities. This field offers more than the high salary packages and this is why everyone is engaged in it. If you’re looking to get started with the Data science or looking to enhance your data skills then here we’re providing the top 10 must watch data science youtube videos that you should watch.

 

Top Data Science Tutorials Youtube Videos

Check out the videos tutorial shared below, either you’re a beginner or a skilled professional here we’ve shared something for everyone. It’s imperative to keep yourself updated regarding all the changes,  know what’s going on and what will be there in the space of data science.

1. Python for data science

Through this webinar, you’ll be guided on how to leverage Python in your data science projects. All the specific code tricks and library to use along with the general principles are specified in this video tutorial. The Python language combines human-friendly syntax, awesome libraries, and computational chops into one of the most powerful languages in the world today.

 

2. Introduction to Data Science with R – Data Analysis

Watch this 80 minutes video to get the introduction of Data science using R. Through this video, the Data mining project has been illustrated. Get the practical exposure to various aspects of Data science along with R Data analysis.

 

3. Predictive Analytics | Predictive Modelling Using R 

This three-hour long video tutorial will let you to understand regression analysis and types of regression models, understand and develop a logical regression, Know and Build a simple linear regression model, Decompose seasonal time series, Understand different exponential smoothing methods, Know the advantages and disadvantages of exponential smoothing, Learn cluster analysis, Know more series and its components, Understand the concepts of white noise and correlogram etc.

 

4. Data Science Tutorial for Beginners – 1

Here is the part 1 of Data science tutorial for beginners from Edureka. The job of data scientist is to make data useful in various ways. There is a huge amount of data which is generating every day from all the sectors of life, the role of data scientist is to make that useful in some or other way. This video is appropriate for beginner’s looking to get started with the Data science. The part 2 of this tutorial is shared below.

 

5. Data Science Tutorial for Beginners-2

Here is the part 2 of edureka’s Data Science video tutorial for beginners. The basic questions are covered in the first part (check out the above video). Through this video you will be introduced to various other aspects of Data science such as What is R?, Data Analysis Process, Why to use R?, Functional Advantages, Programming Concepts, Data Import Techniques of R.  Also, you will learn about Processing the Data, Plotting Functions in R, Data Sub-setting: Indexing, Control Structures in R, Functions in R.

 

6. Data Science Training Tutorial 

Watch this approximately one-hour long youtube video tutorial of data science to uplift your data knowledge. This video is apt for beginners as weel as skilled professionals. Through this video, you’ll have an in-depth learning session of various aspects of data scinece. Watch this to add something new to your knowledge, skilled professional can watch this to revive their data skills.

 

7. K Means Clustering Part – 1 

Clustering data into subsets is an important task for many data science applications and this is considered as one of the most important unsupervised learning technique. Through this video, the various queries related to the clustering are answered such as What is Clustering?, Why Clustering?, Clustering Algorithm classification, Difference between Euclidean and Manhattan, Cosine Distance Measure and much more. Watch the video for detailed information.

 

 

8. K Means Clustering Part – 2 

Here is the second part of the Clustering tutorial. In this part, you’ll learn Step-by-Step Pictorial Representation of K-Means Clustering, K-Means Mathematical Formulation, Choosing Number of clusters and much more. Watch the part 1 from above then proceed to watch this space.

 

9. Introduction to Data Subsetting | Indexing

With this video, you will have a better and complete understanding of how to use R’s indexing notation to pick out specific items within a vector. Watch the complete video for useful knowledge.

 

10. Association Rules Mining 

The topics which are covered in this video are What is Association Rule Mining, Concepts in Association Rule Mining.

 

 

For more information about data science training, courses, jobs etc you can check our previous articles as well. These Data Science tutorials videos have enough knowledge quotient to take you one step higher in data science. If you have any suggestions or question to make then go ahead and use the comment section or else the contact us form provided in the sidebar. Your feedback is always welcome. We would love to assist you.

About the author

Ayush

Ayush Sharma is an Entrepreneur, an MBA in Analytics and Marketing. He has 4 years of experience in Digital Marketing especially in SEO, Facebook Marketing, PPC. He has helped number of clients in growing their business through his expertise in Internet Marketing.

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