Description

Who Should Take This Course?
This course is designed for professionals aspiring to transition into data science and machine learning. Whether you have minimal or no programming experience, or you are looking to strengthen your Python skills, this course provides the perfect foundation to embark on your data-driven journey.

Should You Have Any Prior Knowledge Before Enrolling in This Course?
No prior programming knowledge is required to enroll in this course. It is beginner-friendly and designed to help professionals from diverse backgrounds build a solid Python foundation.

What Will You Gain After Completing This Course?
Upon successful completion, you will:

1.Gain a deep understanding of Python fundamentals, including operators, variables, data types, and input/output.

2.Develop the skills to write Python scripts and solve coding problems.

3.Acquire the confidence to handle Python tasks commonly encountered in data science and machine learning workflows.

4.Be equipped to transition into more advanced concepts such as data analysis, visualization, and algorithm implementation.

 

Python Basics for Data Science and Machine Learning

Section 1: Introduction

Section 2: Python Basics

Section 3: Flow Control

Section 4: Functions

Section 5: Data Structures in Python

Section 6: Strings and Regular Expressions

Section 7: Working with Data Using NumPy and Pandas

Section 8: Data Visualization

Section 9: Introduction to File Handling

Section 10: Basics of Machine Learning in Python

 

Hands-On Projects

Project 1: Data Cleaning and Visualization

Project 2: Building a Basic Machine Learning Model

Project 3: Automating Data Collection

Contact Us for detailed Syllabus : +91 7845791149