Python for Data Science from Zero to Advance Hands-on Course
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What you'll learn
- How to install Anaconda
- Overview of Jupyter Notebook
- Module 1 : Variable, Data Types, And Operators
- Module 2 : Data Structures: List, Tuple, Set, Dictionary
- Module 3 : Control Flow: If Else Statement, While Loop, For Loop
- Module 4 : Functions: How to Create Function, Call function, Parameter or Arguments, Built_in Functions, Lambda, Recursion
- Module 5 : File Handling: Creating, Reading, Updating, and Deleting files
- Module 6 : NumPy: Install & Import NumPy, Create O D Array, 1D Array, 2D Array, 3D Array, Slicing, Shape, Reshape, Joining, Splitting, Searching, Sorting
- Module 7 : Pandas: Install &Import Pandas, Read Files, Analyzing Data Frame, Cleaning Data
course Description :
- Those who wish to start learning Python for data science or upskill themselves can enroll in a Python certification course. Data Science YF offers the Course.
- Data science and analytics have applications across different industries today. Some of these include healthcare, financial and insurance services, e-commerce, retail, entertainment, education, and more. This is the reason why there are big opportunities in data science and data analytics, which are expected to grow further in the near future.
- You will learn about Python for Data Science from zero to advance all Hands-on practical work in Jupiter NoteBook...
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