Udemy - Data Analysis A-Z - Become Data Analyst in 30 Days

seeders: 17
leechers: 17
updated:
Download torrent
Added by freecoursewb in Other > Tutorials
Download Fast Safe Anonymous
movies, software, shows...

Files

[ DevCourseWeb.com ] Udemy - Data Analysis A-Z - Become Data Analyst in 30 Days
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Setting Up Your Data Analysis Platform
    • 1. Install Python and Jupyter Notebook.html (0.2 KB)
    • 1.1 Mac.pdf (1.5 MB)
    • 1.2 Windows.pdf (929.7 KB)
    • 2. Setting Up ChatGPT for SMART Analysis.html (0.2 KB)
    • 2.1 Instructions of setting up ChatGPT.pdf (409.1 KB)
    2. What is Data Analysis
    • 1. Day 1 Data analysis and its characteristics.mp4 (10.6 MB)
    • 2. Day 2 Complete data analysis work-flow.mp4 (9.9 MB)
    • 3. Practice datasets and instruction for QUIZES.html (0.3 KB)
      • Practice datasets
      • Extra Data.xlsx (10.5 KB)
      • Extra Variable.xlsx (33.0 KB)
      • sales data.xlsx (85.0 KB)
      __MACOSX Practice datasets
      • _Extra Data.xlsx (0.3 KB)
      • _Extra Variable.xlsx (0.3 KB)
      • _sales data.xlsx (0.3 KB)
      3. Stage 1 Data Cleaning A - Z
      • 1. Day 3 Loading dataset in your jupyter notebook.mp4 (39.1 MB)
      • 2. Day 4 Dealing with missing values.mp4 (81.1 MB)
      • 3. Day 5 Dealing with inconsistent values.mp4 (61.7 MB)
      • 4. Day 6 Dealing with miss-identified data types.mp4 (40.3 MB)
      • 5. Day 7 Dealing with duplicated data.mp4 (28.2 MB)
      • 6. QUIZ 1 Data Cleaning A-Z.html (0.2 KB)
      • 7. Solution 1 Data Cleaning A-Z.html (0.1 KB)
      • 7.1 Stage 1- Data Cleaning A-Z (Solution).ipynb (34.8 KB)
      4. Stage 2 Data Manipulation A-Z
      • 1. Day 8 Learn data sorting and arrangement.mp4 (30.9 MB)
      • 2. Day 9 Learn conditional data filtering.mp4 (71.7 MB)
      • 3. Day 10 Learn to merge extra variables.mp4 (31.1 MB)
      • 4. Day 11 Learn to concatenate extra data.mp4 (31.4 MB)
      • 5. QUIZ 2 Data Manipulation A-Z.html (0.2 KB)
      • 6. Solution 2 Data Manipulation A-Z.html (0.1 KB)
      • 6.1 Stage 2- Data Manipulation A-Z (Solution).ipynb (85.4 KB)
      5. Stage 3 Exploratory Data Analysis A-Z
      • 1. Day 12 Exploring value counts analysis method.mp4 (165.6 MB)
      • 2. Day 13 Exploring descriptive statistics analysis method.mp4 (95.7 MB)
      • 3. Day 14 Exploring group by analysis method.mp4 (113.6 MB)
      • 4. Day 15 Exploring pivot table analysis method.mp4 (144.4 MB)
      • 5. Day 16 Exploring crosstabulation analysis method.mp4 (68.5 MB)
      • 6. Day 17 Exploring correlation analysis method.mp4 (27.1 MB)
      • 7. QUIZ 3 Exploratory Data Analysis A-Z.html (0.2 KB)
      • 8. Solution 3 Exploratory Data Analysis A-Z.html (0.1 KB)
      • 8.1 Stage 3- Exploratory Data Analysis A-Z (Solution).ipynb (748.3 KB)
      6. Stage 4 Understanding Statistical Data Analysis A-Z
      • 1. Day 18 Various aspects of hypothesis testing.mp4 (30.4 MB)
      • 2. Day 19 Understand confidence level, significance level and p-value.mp4 (27.4 MB)
      • 3. Day 20 Understand complete steps in hypothesis testing.mp4 (29.8 MB)
      • 4. QUIZ 4 Understanding Statistical Data Analysis A-Z.html (0.2 KB)
      7. Stage 5 Data Transformation A-Z
      • 1. Day 21 Testing normal distribution of numeric variables.mp4 (42.8 MB)
      • 2. Day 22 Square root transformation for normal distribution.mp4 (37.8 MB)
      • 3. Day 23 Logarithmic transformation for normal distribution.mp4 (37.0 MB)
      • 4. Day 24 Box-cox transformation for normal distribution.mp4 (37.9 MB)
      • 5. Day 25 Yeo-Johnson transformation for normal distribution.mp4 (41.6 MB)
      • 6. QUIZ 5 Data Transformation A-Z.html (0.2 KB)
      • 7. Solution 5 Data Transformation A-Z.html (0.1 KB)
      • 7.1 Stage 5- Data Transformation A-Z (Solution).ipynb (1.2 MB)
      8. Stage 6 Hypothesis Testing A-Z
      • 1. Day 26 One way between groups ANOVA.mp4 (67.3 MB)
      • 2. Day 27 Pearson product-moment correlation coefficient.mp4 (82.5 MB)
      • 3. Day 28 Multiple linear regression analysis with statsmodel.api.mp4 (103.8 MB)
      • 4. Final QUIZ Hypothesis Testing A-Z.html (0.2 KB)
      • 5. Final Solution Hypothesis Testing A-Z.html (0.1 KB)
      • 5.1 Stage 6- Hypothesis Testing A-Z (Solution).ipynb (1.2 MB)
      9. Tips, Tricks and Resources!
      • 1. ChatGPT for smooth python coding in Data Analysis.mp4 (60.3 MB)
      • 2. Course Resources.html (0.1 KB)
      • 2.1 Complete Data Analysis Work-flow.pptx (47.1 KB)
      • 2.2 Confidence, significance and p value.pdf (53.6 KB)
      • 2.3 Data Analysis.pptx (38.7 KB)
      • 2.4 Steps in Hypothesis Testing.pdf (333.5 KB)
      • 2.5 Various aspects of Hypothesis.pdf (58.9 KB)
      • Bonus Resources.txt (0.4 KB)

Description

Data Analysis A-Z: Become Data Analyst in 30 Days

https://DevCourseWeb.com

Published 10/2023
Created by Md Shahriar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 38 Lectures ( 4h 20m ) | Size: 1.61 GB

Unlock Data Analysis with Hands-on Python Proficiency. Master Full Work-flow and Become Pro Data Analyst in 30 Days.

What you'll learn
Understand and apply the complete data analysis workflow, from data cleaning to hypothesis testing, mirroring real-life scenarios.
Develop the personal capabilities of critical thinking and problem-solving essential for effective data analysis, decision-making, and recommendation.
Implement various data analysis techniques: value counts, percentage, group by, pivot tables, correlation, and regression, practically and professionally.
Solve more than 12 real-world data analytical questions to gain hands-on experience in applying data analysis skills to diverse situations.
Learn to derive significant insights from data and use them to make informed decisions and recommendations by emphasizing the practical application.
Gain proficiency in using Python for data analysis, covering key libraries and tools commonly employed in the industry.
Learn the principles of statistical inference, understand how to draw meaningful conclusions, and make data-driven decisions based on statistical evidence.
Cultivate the ability to think critically about data, and extract meaningful insights, and deliver actionable recommendations for informed decision-making.

Requirements
No coding Experience is Needed.
Mindset to be Successful.
Dedication to be Data Analyst.
Intention to Learn Python.



Download torrent
1.6 GB
seeders:17
leechers:17
Udemy - Data Analysis A-Z - Become Data Analyst in 30 Days

Trackers

tracker name
udp://tracker.torrent.eu.org:451/announce
udp://tracker.tiny-vps.com:6969/announce
http://tracker.foreverpirates.co:80/announce
udp://tracker.cyberia.is:6969/announce
udp://exodus.desync.com:6969/announce
udp://explodie.org:6969/announce
udp://tracker.opentrackr.org:1337/announce
udp://9.rarbg.to:2780/announce
udp://tracker.internetwarriors.net:1337/announce
udp://ipv4.tracker.harry.lu:80/announce
udp://open.stealth.si:80/announce
udp://9.rarbg.to:2900/announce
udp://9.rarbg.me:2720/announce
udp://opentor.org:2710/announce
µTorrent compatible trackers list

Download torrent
1.6 GB
seeders:17
leechers:17
Udemy - Data Analysis A-Z - Become Data Analyst in 30 Days

Torrent hash: 3AB7C63D8D9F0D6BF149F53F7665ABF7C2BB0DB1