| 1. ChatGPT for smooth python coding in Data Analysis.mp4 | 60.3 MB | ||
| 1. Day 1 Data analysis and its characteristics.mp4 | 10.6 MB | ||
| 1. Day 12 Exploring value counts analysis method.mp4 | 165.6 MB | ||
| 1. Day 18 Various aspects of hypothesis testing.mp4 | 30.4 MB | ||
| 1. Day 21 Testing normal distribution of numeric variables.mp4 | 42.8 MB | ||
| 1. Day 26 One way between groups ANOVA.mp4 | 67.3 MB | ||
| 1. Day 3 Loading dataset in your jupyter notebook.mp4 | 39.1 MB | ||
| 1. Day 8 Learn data sorting and arrangement.mp4 | 30.9 MB | ||
| 1. Install Python and Jupyter Notebook.html | 204.8 B | ||
| 1.1 Mac.pdf | 1.5 MB | ||
| 1.2 Windows.pdf | 929.7 KB | ||
| 2. Course Resources.html | 102.4 B | ||
| 2. Day 13 Exploring descriptive statistics analysis method.mp4 | 95.7 MB | ||
| 2. Day 19 Understand confidence level, significance level and p-value.mp4 | 27.4 MB | ||
| 2. Day 2 Complete data analysis work-flow.mp4 | 9.9 MB | ||
| 2. Day 22 Square root transformation for normal distribution.mp4 | 37.8 MB | ||
| 2. Day 27 Pearson product-moment correlation coefficient.mp4 | 82.5 MB | ||
| 2. Day 4 Dealing with missing values.mp4 | 81.1 MB | ||
| 2. Day 9 Learn conditional data filtering.mp4 | 71.7 MB | ||
| 2. Setting Up ChatGPT for SMART Analysis.html | 204.8 B | ||
| 2.1 Complete Data Analysis Work-flow.pptx | 47.1 KB | ||
| 2.1 Instructions of setting up ChatGPT.pdf | 409.1 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 | ||
| 3. Day 10 Learn to merge extra variables.mp4 | 31.1 MB | ||
| 3. Day 14 Exploring group by analysis method.mp4 | 113.6 MB | ||
| 3. Day 20 Understand complete steps in hypothesis testing.mp4 | 29.8 MB | ||
| 3. Day 23 Logarithmic transformation for normal distribution.mp4 | 37 MB | ||
| 3. Day 28 Multiple linear regression analysis with statsmodel.api.mp4 | 103.8 MB | ||
| 3. Day 5 Dealing with inconsistent values.mp4 | 61.7 MB | ||
| 3. Practice datasets and instruction for QUIZES.html | 307.2 B | ||
| 4. Day 11 Learn to concatenate extra data.mp4 | 31.4 MB | ||
| 4. Day 15 Exploring pivot table analysis method.mp4 | 144.4 MB | ||
| 4. Day 24 Box-cox transformation for normal distribution.mp4 | 37.9 MB | ||
| 4. Day 6 Dealing with miss-identified data types.mp4 | 40.3 MB | ||
| 4. Final QUIZ Hypothesis Testing A-Z.html | 204.8 B | ||
| 4. QUIZ 4 Understanding Statistical Data Analysis A-Z.html | 204.8 B | ||
| 5. Day 16 Exploring crosstabulation analysis method.mp4 | 68.5 MB | ||
| 5. Day 25 Yeo-Johnson transformation for normal distribution.mp4 | 41.6 MB | ||
| 5. Day 7 Dealing with duplicated data.mp4 | 28.2 MB | ||
| 5. Final Solution Hypothesis Testing A-Z.html | 102.4 B | ||
| 5. QUIZ 2 Data Manipulation A-Z.html | 204.8 B | ||
| 5.1 Stage 6- Hypothesis Testing A-Z (Solution).ipynb | 1.2 MB | ||
| 6. Day 17 Exploring correlation analysis method.mp4 | 27.1 MB | ||
| 6. QUIZ 1 Data Cleaning A-Z.html | 204.8 B | ||
| 6. QUIZ 5 Data Transformation A-Z.html | 204.8 B | ||
| 6. Solution 2 Data Manipulation A-Z.html | 102.4 B | ||
| 6.1 Stage 2- Data Manipulation A-Z (Solution).ipynb | 85.4 KB | ||
| 7. QUIZ 3 Exploratory Data Analysis A-Z.html | 204.8 B | ||
| 7. Solution 1 Data Cleaning A-Z.html | 102.4 B | ||
| 7. Solution 5 Data Transformation A-Z.html | 102.4 B | ||
| 7.1 Stage 1- Data Cleaning A-Z (Solution).ipynb | 34.8 KB | ||
| 7.1 Stage 5- Data Transformation A-Z (Solution).ipynb | 1.2 MB | ||
| 8. Solution 3 Exploratory Data Analysis A-Z.html | 102.4 B | ||
| 8.1 Stage 3- Exploratory Data Analysis A-Z (Solution).ipynb | 748.3 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Extra Data.xlsx | 10.5 KB | ||
| Extra Variable.xlsx | 33 KB | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| _Extra Data.xlsx | 307.2 B | ||
| _Extra Variable.xlsx | 307.2 B | ||
| _sales data.xlsx | 307.2 B | ||
| sales data.xlsx | 85 KB | ||
| ▲ 65 total files | |||
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.
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| 274.1 MB | freecoursewb | 2 weeks | 16 | 1 | |
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