Two Solid Data Science Courses to Pursue in 2016

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Achieve your New Year’s career and learning goals with these two solid Data Science courses from Udemy – now on Sale at $10.

Data Science A-Z™: Real-Life Data Science Exercises :

This course will give you a full overview of the Data Science journey. Upon completing this course you will know: 

  • How to clean and prepare your data for analysis
  • How to perform basic visualisation of your data
  • How to model your data
  • How to curve-fit your data And finally, how to present your findings and wow the audience

This highly 5 Star rated course is  extremely hands-on and incredibly practical.

Learning Python for Data Analysis and Visualization

Through this course, you’ll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data. 

By the end of this course you will: 

  • Have an understanding of how to program in Python. 
  • Know how to create and manipulate arrays using numpy and Python. 
  • Know how to use pandas to create and analyze data sets. 
  • Know how to use matplotlib and seaborn libraries to create beautiful data visualization. 
  • Have an amazing portfolio of example python data analysis projects! 
  • Have an understanding of Machine Learning and SciKit Learn!

Both the below courses are on Sale at Udemy at a steeply discounted price of $10 (Promotion ends 01/11).  Jump start your learning goals today.

Visual Literacy

Often neglected but a critical knowledge area for the business, communication and engineering students is Visual Literacy.  It is the ability of an individual to evaluate, apply or create a visual representation of an idea or thought or a process which is mostly conceptual in nature. Key to achieving the conceptual visualization skill is to transform the abstract thought into graphics or other tangible forms and manage the complexity of the thought / topic.

So far, in the academic world, visualization concepts, principles and methods is being taught albeit in the theoretic form without the necessary tools to actually develop these skills with the student community.  Probable reason could be non-availability of structured material or exercises for the teachers and students.  The difficult part of the whole teaching is on making the students experience the kinds of challenges arise when knowledge needs to be visualized for successful communication, strategizing or engineering tasks. Although the topic of visualization is a very creative one, students so far only had limited possibilities to creatively explore visualization in their application domains.

With the Visual-Literacy.org online tutorial, professors and teachers can flexibly revert to an important resource whenever a course relies on conceptual visualization competence.  Check out for the various articles, demos and other assets.

Don’t forget to roll over your cursor especially on the periodic table of visualization methods found in the link below :

http://www.visual-literacy.org/periodic_table/periodic_table.html#7

Building a Data Warehouse – A Tutorial

At times, even for the seasoned DWH practitioners feel that some of the basics needs brushing up.  A good place to look out for a detailed tutorial on building a data warehouse is Stephen Forte’s blog.  The topics are neatly organized into five sections viz.

Although the examples and descriptions are around MS SQL Server based, but I am sure that it would appeal to even folks from other technologies too.

Having heard from the practitioners, especially the beginners, I intend to share such blogs / links which should appeal to them.  Do let me know if you have anything to share.