Learn Data Science Free @TalhaTraining to be a Data Scientist Day 07

What is Data science?
Data science combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization’s data.

Workfiles: https://github.com/Talha-Train....ing/DATA-SCIENCE-TRA

Learn Data Science Free @ TalhaTraining to be a Data Scientist

Paid Course URL: https://talhatraining.com/cour....se/data-science-trai
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Email: training@talhatraining.com or talhatraining@gmail.com

Why learn data science?
Data science has the potential to improve the way we live and work, and it can empower others to make better decisions, solve problems, discover new advancements, and address some of the world's most pressing issues. With a data science career, you can be a part of this transformation.
1. Demand: Data Scientists are in High Demand.
2. Growth: Data Science Careers Have High Earning Potential.
3. Job Security: Data Science is a Fast-Growing Field.
4. Opportunity: Data Science Has a Range of Potential Job Opportunities.
5. Flexibility: Data Scientists are Needed in Various Sectors.

Who is called a data scientist?
A data scientist is a professional who creates programming code and combines it with statistical knowledge to create insights from data.

How to learn data Science?
The best way to learn data science is to work on projects so you can gain data science skills that can be applied immediately and are useful from a real-world implementation perspective. The sooner you start working on diverse data science projects, the faster you will learn the related concepts.
TalhaTraining teaches you the essential concepts of the Various Data Science Disciplines like Data, Big Data, BI, Traditional Data Science and ML.
Training Objectives
• Data Science - The Benefits
• Popular Data Science Techniques
• Popular Data Science Tools
• Careers in Data Science
• Debunking Common Misconceptions
• Probability
• Statistics
• Python Programming for Data Scientist
• Big Data and Spark with Python
• Advanced Statistical Methods
• Mathematics
• JavaScript for Data Scientist
• Deep Learning

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