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

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Udemy - Data Analysis A-Z Become Data Analyst in 30 Days (Size: 1.6 GB)
  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
  3.1 Practice datasets.zip 123.3 KB
  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
  ▲ 58 total files

Description


Description

Data Analysis A-Z: Become Data Analyst in 30 Days is an intensive training program designed to equip participants with the essential skills and knowledge required to excel as a data analyst. This comprehensive course covers a wide range of topics, from basic Python programming to advanced statistical analysis techniques using industry-standard tools such as pandas, numpy, and Excel.

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