Data Science Training

Data science training in Jodhpur is the most popular field in future/advanced technologies, which is the study of data to extract meaningful understandings for business. It is a versatile approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze massive amounts of data.

Data science has become a crucial part of any industry today. It’s a method for converting business data into assets that help organizations improve revenue, reduce costs, seize business opportunities, improve customer experience, and more.

Data science is one of the most discussed topics in the industries in present scenario. Its popularity has grown over the years, and companies have started carrying out data science techniques to grow their business and increase customer satisfaction.

Data science is the domain of study that deals with large volumes of data using modern tools and techniques to find hidden patterns, derive relevant information, and build business decisions.

Data Science facilitates it with its power to obtain information from large quantities of data. Information Technology makes our life easier by grouping and refining more data quickly and efficiently to provide results in hours contrary to days and weeks.

Data scientists use Python and R for data creation and statistical analyzes. Compared to R, Python’s motive is to make programming more readable, simpler, and offers more flexibility while learning. In addition, Python is used in several verticals other than Data Science and offers you various applications.

Course Highlights:

• 1: Introduction
• History of data science
• What is data science?
• Scope of data science
• Features of data science
• 2: Introduction to python
• What is python?
• Why python?
• Installing python?
• Python IDEs
• Jupyter notebook overview
• 3: Python basics
• Python basic data types
• Lists
• Slicing
• If Statements
• Loops
• Dictionaries
• Tuples
• Functions
• Array
• Selection by position & labels
• 4: Python packages for Data Science
• Pandas
• NumPy
• Sci-kit learn
• Mat-plot library
• 5: Importing data
• Reading CSV files
• Saving in python data
• Loading python data objects
• Writing data to CSV file
• 6: Manipulating data
• Selecting rows/observations
• Rounding number
• Selecting columns/fields
• Merging data
• Data aggregation
• Data munging techniques