Udemy-DataAnalystBootcamp2025GetReadytoBeaDataAnalyst2025-7

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1 Introduction
2 Environment Preparing for Python
3 Introduction to Python
4 Python2 VS Python3
5 Understanding Data Types in Python
6 Understanding Python Data Structure Wrap up

1 String Functions in Python Part 1
2 String Functions in Python Part 2
3 String Functions in Python Part 3
4 String Functions in Python Part 4
5 String Functions in Python Part 5
6 Lists
7 Tuples
8 Sets
9 Dictionaries
10 Control Flow IF
11 For Loop Part 1
12 For Loop Part 2
13 While Loop Part 1
14 While Loop Part 2
15 While Loop Best Practices
16 Introduction to Functions in Python
17 Functions in Python and Arguments
18 Function Tips Tricks Recursion
19 Function Tips Tricks Functions Decorators and Higher Order Functions
20 Functions Tips Tricks Lambda Functions
21 Functions Tips Tricks Functions Caching Memoization
22 Error Handling in Python
23 Files and Modules in Python

1 Creating Simple Class
2 Overviewing Constructor
3 Learning How to creating Dunder Methods
4 Learning about Inheritance
5 Knowing What is the Encapsulation
6 Learning also about Multiple Inheritance
7 Knowing What is the Overriding
8 Learning about Decorators
9 Learning How to use Build in Decorators

1 Project Walk through
2 Project Helpful Notes
3 Project Solution

1 Project Walk through
2 Project Helful Notes
3 Project Solution Part 1
4 Project Solution Part 2

1 Project Walk Through
2 Project Helpful Notes
3 Project Solution

1 Part 1
2 Part 2
3 Part 3

1 Python Flask Library Overview
2 Facebook Developer App Creating And Downloading Ngrok
3 Facebook Chat App Preset Messaging
4 Hooking and Runnig The FB ChatBot App Using Ngrok

1 1 Numpy Intro
2 2 Numpyshape Numpysize
3 3 Creating Numpy nd arrays using Numpy functions
4 4 Numpyunique Array slicing
5 5 Numpy Calculations and Operators
6 6 Numpy Aggregations
7 7 Numpy Reshape and Transposing
8 8 Numpy Comparing
9 9 Numpy Images processing

1 Introduction
2 PostgreSQL Downloading Installing
3 Creating Database
4 Restoring Database

1 SQL Database Overview Part 1
2 SQL Database Overview Part 2
3 SQL Data Types

1 Select Statement
2 Select Challenge Solution
3 Select Statement For all Airlines Database Tables
4 Distinct

1 Where Clause
2 Operators used with Where Clause
3 Where Clause AND Where Clause OR
4 Where Clause LIKE
5 Where Clause BETWEEN IN AS

1 LIMIT ORDER BY
2 FETCH vs LIMIT
3 NOT IN
4 ISNULL IS NOT NULL
5 CAST

1 COUNT Function CREATE TABLE INSERT INTO TABLE
2 SUM Function
3 MIN MAX AVG Functions
4 GROUP BY HAVING

1 CASE Clause
2 NULLIF
3 COALESCE Function in SQL

1 Overview of Time Functions in PostgreSQL
2 TIMESTAMP EXTRACT
3 DATE_TRUNC DATE_PART
4 Double Column DATE IN PostgreSQL CURRENT_DATE now

1 INNER JOIN
2 Joins Types Overview
3 LEFT OUTER JOIN
4 Deep understanding of LEFT JOIN
5 RIGHT OUTER JOIN
6 FULL OUTER JOIN
7 CROSS JOIN
8 UNION UNION ALL INTERSECT EXCEPT
9 SELF JOIN
10 USING
11 NATURAL JOIN

1 Sub queries
2 SQL Sub query EXISTS ANY OR ALL
3 Common Table Expression

1 Math Functions
2 Window Functions OVER
3 Window Functions RANK OVER NTILE OVER
4 Window Functions OVER LEAD
5 Window Functions OVER LAG

1 PostgreSQL POSITION Function
2 STRPOS REPLACE in PostgreSQL
3 PostgreSQL LEFT RIGHT BTRIM SPLIT_PART Functions
4 PostgreSQL CONCAT Function
5 PostgreSQL LOWER UPPER INITCAP Functions

1 GROUPING SETS ROLLUP CUBE
2 SELECT Statement INTO SELECT Statement INTO IN
3 VIEW

1 Data Analysis Process Overview

1 Installing Jupyter Lab Pandas
2 Fetchmany and Fetchall
3 Querying Using Python Panadas
4 Using Pandas Library to load PostgreSQL Data Output file

1 Pandas methods and functions
2 Visualizing Data
3 Pandas Data Analysis
4 Sampling Error

1 Data manipulation using DataFrames
2 Accessing Data Using DataFrames
3 Data aggregation and summarization
4 Create New Columns Drop Unnecessary Ones and Perform Various Data Manipulation
5 Essential Techniques for Peeking at Describing our Data in Python
6 Filtering Data

1 Introduction to Data Visualization in Python
2 Histograms a Powerful Tool for Visualizing the Distribution of Data
3 Visualizing Trends using a Real World Financial Data
4 Determining and Choosing the Appropriate Plot Type

1 How to Scrape a website
2 Scrape a Table inside a Webpage using Pandas and LXML Python Modules

1 Data Visualization of the Scraped Data

1 Save The Scraped Data to a newly created Database

1 Introduction
2 What are data graphs and charts
3 Data visulaization Overview
4 Data Visualization Bar Chart
5 Data Visualization Line Chart
6 Data Visualization Pie Chart
7 Data Visualization Histogram
8 Data Visualization Box Plot
9 Data Visualization Distribution of Data
10 Central Tendency Measures of Data Center
11 Spread Measures of Data Spread
12 Summary Statistics Outliers
13 Correlations Heatmaps
14 Computing Covariance
15 Introduction to Statsmodels
16 Exploring Datasets with Descriptive Statistics
17 Hypothesis Testing Essentials Concept of Hypothesis Testing
18 Hypothesis Testing Essentials One sample and two sample t tests
19 Hypothesis Testing Essentials Paired t test
20 Hypothesis Testing Essentials Chi Square test for independence
21 Linear Regression OLS model Residual AnalysisCoefficients P Values R squared
22 Multiple Linear Regression with statsmodels Expanding to Multiple Predictors
23 Handling Multicollinearity in Multiple Linear Regression with statsmodels VIF

1 Designing an AB Test for Marketing Data in Python
2 Designing an AB Test for Marketing Data with Segmentation in Python
3 Calculating Lift Significance Testing for Marketing Data in Python

1 Introduction to Machine learning with scikit learn
3 The Supervised Learning Workflow
4 Measuring Model Performance
5 Introduction to Regression
6 The Basics of Linear regression Regression Performance
7 Cross validation for R squared Analyzing Cross Validation Metrics
8 Regularized Regression
9 The k Nearest Neighbors Classification Supervised ML Learning Algorithms
10 How Good is your Model and How to use Random Forest Classifier
11 Logistic Regression and the ROC Curve
12 Hyperparameter Tuning with GridSearchCV RandomizedSearchCV
13 Preprocessing Data and Creating Dummy Variable for Categorical Data Variables
14 Handling Missing Data And Creating The ML Pipeline
15 Centering and Scaling Techniques in ML Supervised Learning Algorithms
16 Evaluating Multiple Models with Examples
17 Comparing Models
18 Logistic Regression and Support Vector Machines for Text Classification
19 Linear Classifier Decision Boundaries
20 Linear Classifiers The Coefficients
21 What is The Loss Function
22 Loss Function Diagrams
23 Logistic Regression Regularization Identifying Negative Reviews
24 Logistic Regression and Probabilities
25 Multi class Logistic Regression
26 Unsupervised Learning The Fundamentals of Clustering
27 Clustering Evaluation Optimization
28 Transforming Features for Better Clustering Clustering Stocks Using KMeans
29 Hierarchical Clustering Visualizing Hierarchies
30 t SNE for 2 dimensional maps
31 Visualizing The PCA Transformation Calculating Cumulative Explained Variance
32 Dimension Reduction with PCA
33 Dimension Reduction with PCA and Non negative Matrix Factorization NMF

1 Learn How to Building Recommender System using NMF

1 1 Visual Exploring of Google App Store Data
2 2 Data Cleaning and Preprocessing of Google App Store Data
3 3 Data Visualization Techniques
4 4 Statistical Analysis and Hypothesis Testing
5 5 Data Storytelling
6 6 Conclusion

1 Part 1
2 Part 2
3 Part 3

1 1 Reading and Preprocessing Data
2 2 Data Transformation and Visualization
3 3 Train Test Split and Model Selection
4 4 Model Training with XGBoost
5 5 Making Predictions and Submission

2 Introduction to Time Series Analysis
3 Creating Converting Datetimes from Strings Manipulating Datetime Data
4 Accessing Datetime Attributes Comparing Datetimes Making Relative Datetime
5 Understanding Time Series Growth Rates Comparing Stock Prices with a Benchmark
6 Changing Time Series Frequency By Up Sampling Interpolation
7 Changing Time Series Frequency Down Sampling
8 Window Functions in Time Series Analysis
9 Stock Price Series Analysis with Lags

1 Introduction
2 Data Preprocessing and Cleaning
3 Visualizing Time Series Data
4 Creating Forecasting Models
5 Predicting Future Bitcoin Prices

1 Generative AI for Data Analysis
2 Generative AI for Data Science

Udemy - Data Analyst Boot camp 2025 Get Ready to Be a Data Analyst 2025-7

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Udemy - Data Analyst Boot camp 2025 Get Ready to Be a Data Analyst 2025-7

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