Data Analysis with Python Course Overview

Prerequisites for Data Analysis with Python Course:

To ensure you have a successful learning experience in the Data Analysis with Python course, we recommend that participants meet the following minimum prerequisites:

• Basic Understanding of Programming Concepts: Familiarity with fundamental programming concepts such as variables, loops, and conditional statements.
• Comfort with Basic Mathematics: An understanding of basic mathematical concepts and operations, including addition, subtraction, multiplication, division, and basic algebra.
• Basic Computer Skills: Proficiency in using a computer, including using text editors, managing files, and navigating through directories.
• Motivation to Learn: A strong desire to learn and apply data analysis techniques using Python.

These prerequisites are designed to ensure that learners can keep pace with the course content and fully benefit from the training. If you are passionate about starting a career in data analysis and meet these basic requirements, you are well-prepared to enroll in this course!

Target Audience for Data Analysis with Python

Introduction:
The Data Analysis with Python course is designed to transform professionals into job-ready data analysts by extensively covering fundamental topics and preparing them for practical tasks and interview concepts.

Job Roles and Audience:

• Aspiring Data Analysts
• Junior Data Analysts looking to upskill
• Business Analysts
• Data Scientists
• Statisticians
• Financial Analysts
• Marketing Analysts
• IT Professionals
• Software Developers transitioning to data roles
• Researchers and Academics
• Graduate students in Data Science or related fields
• Anyone looking to switch careers to data analysis
• Management and Operations Analysts
• Data Engineers looking for a broader skill set

Learning Objectives - What you will Learn in this Data Analysis with Python?

Introduction

The "Data Analysis with Python" course is designed to transform professionals into job-ready data analysts, focusing on fundamental skills such as data gathering, cleaning, and visualization. This comprehensive 5-day program prepares students for practical tasks and interview-ready concepts.

Learning Objectives and Outcomes

• Acquire a thorough understanding of the data analyst role
• Learn to work proficiently with text files
• Master data cleaning techniques
• Create a variety of charts including pie, bar, line, area, histogram, scatter, regression, and combo charts
• Develop a solid foundation in Python programming, including NumPy and pandas
• Comprehend different data types and their memory usage
• Achieve proficiency in data visualization
• Gain experience in object-oriented programming with Python
• Understand the principles of data gathering, cleaning, and preprocessing
• Learn to use statistical functions and perform preprocessing with NumPy

By the end of this course, students will be well-equipped with the necessary skills and knowledge to pursue a career as a data analyst.