Published 1/2024 Created by Md Shahriar MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 59 Lectures ( 7h 4m ) | Size: 2.41 GB
Master Python Essentials, Data Cleaning, Manipulation, Analysis, Transformation, Statistics, Hypothesis Testing and More
What you'll learn: Learn Python's syntax, data types, variables, and operators to construct simple programs and execute basic functions. Learn to regulate program flow, use loops and conditional statements like if, elif, and else. Acquire skills to use Python lists, dictionaries, tuples, and sets. Learn NumPy and Pandas the key Python packages for data manipulation and computing. Learn how to quickly fix NameError, TypeError, IndentationError, and other issues. Harness the power of ChatGPT for real-time code suggestions, completion, and improvement. Learn and apply the data analysis methodology, from data cleaning to hypothesis testing, in real-world applications. Increase your critical thinking and problem-solving skills for data analysis, decision-making, and recommendation. Use value counts, percentage, group by, pivot tables, correlation, and regression professionally and realistically. Solve over 60+ real-world data analytical questions to practice applying data analysis to various circumstances. Emphasize practical application to gain valuable insights from data and create educated judgments and suggestions. Learn Python for data analysis using industry-standard libraries and tools. Master statistical inference, draw meaningful findings, and make data-driven decisions. Develop critical thinking, data analysis, and practical recommendations for informed decision-making.
Requirements: No coding experience is needed Desire to learn data analysis in python