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

سرفصل های دوره

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

1. Setting Up Your Data Analysis Platform

1.1 Mac.pdf

1.2 Windows.pdf

1. Install Python and Jupyter Notebook.html

2.1 Instructions of setting up ChatGPT.pdf

2. Setting Up ChatGPT for SMART Analysis.html

2. What is Data Analysis

1. Day 1 Data analysis and its characteristics

2. Day 2 Complete data analysis work-flow

3.1 Practice datasets.zip

3. Practice datasets and instruction for QUIZES.html

3. Stage 1 Data Cleaning A - Z

1. Day 3 Loading dataset in your jupyter notebook

2. Day 4 Dealing with missing values

3. Day 5 Dealing with inconsistent values

4. Day 6 Dealing with miss-identified data types

5. Day 7 Dealing with duplicated data

6. QUIZ 1 Data Cleaning A-Z.html

7.1 stage 1- data cleaning a-z (solution).zip

7. Solution 1 Data Cleaning A-Z.html

4. Stage 2 Data Manipulation A-Z

1. Day 8 Learn data sorting and arrangement

2. Day 9 Learn conditional data filtering

3. Day 10 Learn to merge extra variables

4. Day 11 Learn to concatenate extra data

5. QUIZ 2 Data Manipulation A-Z.html

6.1 stage 2- data manipulation a-z (solution).zip

6. Solution 2 Data Manipulation A-Z.html

5. Stage 3 Exploratory Data Analysis A-Z

1. Day 12 Exploring value counts analysis method

2. Day 13 Exploring descriptive statistics analysis method

3. Day 14 Exploring group by analysis method

4. Day 15 Exploring pivot table analysis method

5. Day 16 Exploring crosstabulation analysis method

6. Day 17 Exploring correlation analysis method

7. QUIZ 3 Exploratory Data Analysis A-Z.html

8.1 stage 3- exploratory data analysis a-z (solution).zip

8. Solution 3 Exploratory Data Analysis A-Z.html

6. Stage 4 Understanding Statistical Data Analysis A-Z

1. Day 18 Various aspects of hypothesis testing

2. Day 19 Understand confidence level, significance level and p-value

3. Day 20 Understand complete steps in hypothesis testing

4. QUIZ 4 Understanding Statistical Data Analysis A-Z.html

7. Stage 5 Data Transformation A-Z

1. Day 21 Testing normal distribution of numeric variables

2. Day 22 Square root transformation for normal distribution

3. Day 23 Logarithmic transformation for normal distribution

4. Day 24 Box-cox transformation for normal distribution

5. Day 25 Yeo-Johnson transformation for normal distribution

6. QUIZ 5 Data Transformation A-Z.html

7.1 stage 5- data transformation a-z (solution).zip

7. Solution 5 Data Transformation A-Z.html

8. Stage 6 Hypothesis Testing A-Z

1. Day 26 One way between groups ANOVA

2. Day 27 Pearson product-moment correlation coefficient

3. Day 28 Multiple linear regression analysis with statsmodel.api

4. Final QUIZ Hypothesis Testing A-Z.html

5.1 stage 6- hypothesis testing a-z (solution).zip

5. Final Solution Hypothesis Testing A-Z.html

9. Tips, Tricks and Resources!

1. ChatGPT for smooth python coding in Data Analysis

2.1 Complete Data Analysis Work-flow.pptx

2.2 Confidence, significance and p value.pdf

2.3 Data Analysis.pptx

2.4 Steps in Hypothesis Testing.pdf

2.5 Various aspects of Hypothesis.pdf

2. Course Resources.html

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تولید کننده: Udemy