Udemy - Python for Data Analyst by Jewel Alam

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Free Download Udemy - Python for Data Analyst by Jewel Alam
Published: 4/2025
Created by: Jewel Alam
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 116 Lectures ( 2h 40m ) | Size: 1 GB

Use Python to Uncover Insights and Make Data-Driven Decisions for Startups and Growth
What you'll learn
Memorize Python fundamentals for data analysis to help manage all departments of a startups and make smart business decisions
Execute data cleaning to prepare datasets for analysis, ensuring accuracy and consistency, which helps make informed decisions in startup management
Develop and use data manipulation techniques to transform, analyze, and optimize datasets for making data-driven decisions in business growth
Design and compare data visualizations to effectively communicate insights, make data-driven decisions and present information clearly in business strategies
Develop Exploratory Data Analysis (EDA) skills to uncover patterns, trends, and insights, enabling better decisions for business strategies
Develop 5 industry projects to showcase in your resume, strengthening your skills and building a strong profile for future job opportunities
Requirements
No programming experience needed. You will learn everything you need to know
Description
Unlock the power of data to drive smart business decisions in this practical, hands-on course designed for startup founders, product managers, marketers, and aspiring data analysts. In "Python for Data-Driven Decision Making," you'll master the core Python fundamentals needed to analyze data and turn it into actionable insights.Begin by solidifying your Python programming skills specifically tailored for data analysis-no fluff, just the essentials you'll actually use in the real world. Learn how to clean messy datasets, ensuring accuracy and consistency, so your insights are always reliable. You'll then dive into data manipulation techniques to transform raw data into a powerful decision-making tool, using it to optimize products, assess risk, and shape marketing strategies.The course wraps up with Exploratory Data Analysis (EDA), teaching you how to uncover hidden patterns, trends, and correlations that can directly impact startup growth and innovation. Every concept is rooted in real-world business scenarios, giving you practical skills you can immediately apply to your startup or team.Whether you're looking to boost your decision-making with data or sharpen your analysis skills to grow your business, this course gives you the tools to make it happen-all with Python at your fingertips.All the Best for your future endeavor
Who this course is for
Startup founders
Business owners
Working Professionals
College Students
Side Hustlers
Freelancers
Data Analyst: complete Beginners
Individuals from both technical and non-technical backgrounds
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1013.05 MB | 4min 34s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

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FileName :1 -Introduction of the mentor.mp4 | Size: (4.14 MB)
FileName :2 -For whom the course is.mp4 | Size: (43.72 MB)
FileName :3 -What you will learn in the course.mp4 | Size: (15.94 MB)
FileName :1 -Introduction of the module.mp4 | Size: (19.35 MB)
FileName :2 -Downloading Anaconda.mp4 | Size: (8.11 MB)
FileName :3 -Installing Anaconda.mp4 | Size: (7.13 MB)
FileName :4 -Opening Anaconda and Jupiter Notebook.mp4 | Size: (10.94 MB)
FileName :5 -Tour of Jupiter Notebook.mp4 | Size: (9.66 MB)
FileName :6 -Print function.mp4 | Size: (7.42 MB)
FileName :7 -Variables.mp4 | Size: (5.41 MB)
FileName :8 -Data Types.mp4 | Size: (13.88 MB)
FileName :9 -Operators.mp4 | Size: (8.79 MB)
FileName :1 -Introduction.mp4 | Size: (39.29 MB)
FileName :2 -If-Else Statements.mp4 | Size: (9.71 MB)
FileName :3 -For Loop.mp4 | Size: (17.58 MB)
FileName :4 -While Loop.mp4 | Size: (5.54 MB)
FileName :5 -Example of combining loops with If statement.mp4 | Size: (13.95 MB)
FileName :6 -Summary.mp4 | Size: (4.44 MB)
FileName :1 -Introduction.mp4 | Size: (23.19 MB)
FileName :2 -Pandas library.mp4 | Size: (31.46 MB)
FileName :3 -Matplotlib library.mp4 | Size: (29.47 MB)
FileName :4 -NumPy library.mp4 | Size: (23.8 MB)
FileName :5 -Seaborn library.mp4 | Size: (30.97 MB)
FileName :6 -Revision of this module.mp4 | Size: (52.2 MB)
FileName :1 -Introduction.mp4 | Size: (34.51 MB)
FileName :2 -Import Datasets.mp4 | Size: (1.55 MB)
FileName :3 -Importing Libraries and Datasets.mp4 | Size: (13.64 MB)
FileName :4 -Viewing All Rows and Columns.mp4 | Size: (13.8 MB)
FileName :5 -Viewing the First 8 Rows.mp4 | Size: (17.17 MB)
FileName :6 -Checking Full Information of the DataFrame.mp4 | Size: (18.43 MB)
FileName :7 -Conclusion.mp4 | Size: (34.82 MB)
FileName :1 -Introduction of this module.mp4 | Size: (43.41 MB)
FileName :10 -Summary of this module.mp4 | Size: (45.94 MB)
FileName :2 -Unique function and Describe function.mp4 | Size: (28.5 MB)
FileName :3 -Max and min function.mp4 | Size: (18.59 MB)
FileName :4 -Creating a Subset from the Existing Dataset.mp4 | Size: (18.47 MB)
FileName :5 -Checking the Number of Rows in the Subset.mp4 | Size: (16.52 MB)
FileName :6 -Applying Conditions to FIlter Data.mp4 | Size: (14.53 MB)
FileName :7 -Extract Columns with a Single Condition.mp4 | Size: (17.31 MB)
FileName :8 -Extracting columns with multiple conditions.mp4 | Size: (19.05 MB)
FileName :9 -Extract columns with conditions on different columns.mp4 | Size: (15.42 MB)
FileName :1 -Introduction.mp4 | Size: (60.65 MB)
FileName :2 -Selecting Data.mp4 | Size: (18.37 MB)
FileName :3 -Using where for Conditional Selection.mp4 | Size: (22.4 MB)
FileName :4 -Adding New Columns with dataframe assign().mp4 | Size: (24.43 MB)
FileName :5 -Using AND for Multiple Conditions.mp4 | Size: (26.5 MB)
FileName :6 -Using OR for Multiple Conditions.mp4 | Size: (23.96 MB)
FileName :7 -Summery.mp4 | Size: (27.72 MB)

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