Data Scientist Job Ready Data Science Course:
- 3.8
-
![]()
![]()
![]()
![]()
Brief Introduction
Implement 2020 edition data science algorithms without a single line of coding in Excel & R: The Silicon Valley WayDescription
Learn the skills of tomorrow, the silicon valley way
Focus on extracting insights from data of any form or shape using multitude of statistical disciplines for the purpose of creating new products & services or improve the existing ones by predicting its probability in a event. And as the enormity of data is on the rise, there is a desperate need for professionals with data science skills to get valuable insights on it. According to NYTimes there are fewer than 10,000 qualified people in the world and universities are only graduating about 100 candidates each year.
Why data science is so important?
• Twitter Since 2013, the number of posts increased 25% to more than 350,000 tweets per minute.
• YouTube usage has more than tripled in the last two years with user uploading 400 hours of new video each minute of every day.
• Instagram users like 2.5 million posts every minute!
• Google Around 4 million Google searches are conducted worldwide each minute of everyday.
• Finally, data send and received by mobile internet users 1500 000TB.
So, with the above examples of how much data gets generated, now how much hidden insights and patterns for accurate future predictions that we can actually achieve by using data science.
According to Forbes, annual demand for Data Scientist jobs for United States itself will increase by 364 million by 2020.
The average salary for a Data Scientist is $113,436.
What are the career progression path for data science professionals?
• Data Scientist: with a vast knowledge of Data Science, with Machine Learning and Business Intelligence tools. Data Scientist stands high as the Everest.
• Data Analyst: in 2020, the world will generate data 50times more than now and with each day passes by the data generated is infinity and with that to analyze those data, data analyst jobs will never have to see the face of recession. In linkedin itself there are average 400 new jobs for every 12 hour.
• Data Science Trainer: in this present date with a lack of the knowledge of these advance data science techniques gives a vast opportunity to become the fountain of data science for others.
• Business analyst: with the role of defining and managing the business requirements, business analyst takes the lead in every business decision making process of organization.
Requirements
- Requirements
- Basic Math Skills
- Microsoft Excel 2007 or above
- R Studio
Rupak Roy
3.8 Raiting
DP-100: A-Z Machine Learning using Azure Machine Learning
- 4.5
-
![]()
![]()
![]()
![]()
![]()
Microsoft Azure DP-100: Designing and Implementing a Data Science Solution Exam Covered. Learn Azure Machine Learning DP-100 is designed for Data Scientists....
Machine Learning 101 with Scikit-learn and StatsModels
- 4.6
-
![]()
![]()
![]()
![]()
![]()
New to machine learning? This is the place to start: Linear regression, Logistic regression & Cluster Analysis Are you an aspiring data scientist determined to achieve professional success?...
R: Complete Data Visualization Solutions
- 3.9
-
![]()
![]()
![]()
![]()
![]()
Learn by doing - use R’s most popular packages and functions to create interactive visualizations Let’s get on this data visualization journey together....
IBM Data Analyst Professional Certificate
- 0.0
-
![]()
![]()
![]()
![]()
![]()
Unlock your potential in data analytics. Build job-ready skills for an in-demand career as a data analyst. No degree or prior experience required....
