In today's data-driven business landscape, proficiency in data analytics has become a fundamental skill for professionals across various domains. The "Business Data Analytics with Python" training course provides a comprehensive learning experience tailored to equip participants with essential skills in data analysis using Python programming language.
This course covers a wide array of topics essential for effective data analysis, including data acquisition, cleaning, preprocessing, exploratory data analysis (EDA), and data visualization. Participants will delve into foundational concepts of data analytics, mastering Python programming specifically tailored for data analysis applications. Through hands-on modules, they will learn to collect and manipulate data from diverse sources using APIs, Excel, and CSVs, while effectively utilizing Pandas library for data manipulation.
The course emphasizes the importance of data visualization techniques using Matplotlib and Seaborn, enabling participants to create meaningful visualizations and effectively communicate insights to stakeholders. Throughout the training, participants will develop essential skills in storytelling and reporting, enhancing their ability to convey findings derived from data analysis.
Designed for a diverse audience including business analysts, managers, executives, and professionals in sales, marketing, and finance, this course welcomes individuals with varying levels of expertise in Python and programming. With no prior Python experience required, this course caters to absolute beginners, providing a supportive learning environment for skill development.
By the end of the 40-hour training, participants will emerge with a solid foundation in data analytics principles, equipped with practical skills to acquire, clean, analyze, and visualize data effectively using Python. Whether aiming to enhance professional capabilities or delve into the realm of data science, this course offers invaluable insights and practical knowledge for individuals seeking to excel in data-driven decision-making processes.
Learning Outcomes
- Provide participants with a solid foundation in the basic principles of data analytics.
- Equip participants with the skills to acquire, clean, and preprocess data effectively.
- Teach participants how to conduct Exporatory Data Analysis (EDA) to extract meaningful insights from data.
- Focus on data visualization techniques and communicate findings effectively.
Who It's For
This course is ideal for:
- Business Analysts
- Managers and Executives
- Sales/Finance/Marketing Professionals
- Entrepreneurs and Decision Makers
- Anyone Interested in Data Analysis or Data Science
Prerequisites
- No prior Python experience required. This course is designed for absolute beginners in Python and
- Programming. No prior coding experience is necessary.
- Participants should have access to a computer during all training sessions.