Data Analyst Boot camp 2025: Get Ready to Be a Data Analyst. | Udemy [Update 07/2025]
English | Size: 9.05 GB
Genre: eLearning[/center]

Master Python, SQL, Data Visualization, Machine Learning, Statistics, & AI with Examples, Challenges, & Projects.

What you'll learn
Using Real World PostgreSQL Database Airlines Database.
Learn coding in Python by examples.
How to Use Python & SQL to Analyze and visualize Data.
Use Python to visualize Postgres Data Output and get your Conclusion about Data.
Use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data.
Use SQL to perform advanced techniques to retrieve data from databases.
Use Python with SQL Postgres database.
Use Python to load Postgres Data Output file.
Learn Python & SQL by doing through Python Projects.
Descriptive & Inferential Stats.
Hypothesis Testing.
Building ML models with Scikit-learn.
Recommender Systems with NMF.
Time Series Forecasting Projects.
Using ChatGPT/OpenAI to Automate Analytics Tasks.
Portfolio Building with Kaggle Projects.
Resume Tips & Job Interview Practice.
Using ChatGPT to Write SQL Queries, Reports, and Summaries.

Join the Data Analyst Bootcamp 2025 and embark on a transformative journey towards becoming a proficient data analyst. This comprehensive Udemy course equips you with the essential skills needed to excel in the field of data analysis. Learn Python programming, SQL querying, data analysis techniques, and more, all while engaging in practical examples, challenges, and real-world projects.

What You'll Learn:

- Python for Data Analysis:

Python Basics, Control Flow, Functions & OOP

Python Challenges to boost coding skills

Python Projects: Chat Bots, File Manager, Data Extraction & More

- SQL for Data Analytics:

SQL Basics to Advanced: Joins, Aggregations, Window Functions.

Real Project.

SQL for Data Cleaning & Query Optimization.

- Data Wrangling & Preparation:

Cleaning Messy Datasets

Dealing with Missing Values, Outliers, Duplicates

Exploratory Data Analysis (EDA) using Pandas

- Data Visualization:

Visualizing trends, correlations, and KPIs

Plotting using Matplotlib and Seaborn

Creating insights for stakeholders

- Statistics for Data Science:

Descriptive & Inferential Stats

Hypothesis Testing

Probability Distributions & Confidence Intervals

- Machine Learning:

Building ML models with Scikit-learn

Recommender Systems with NMF

Time Series Forecasting Projects

- Real-World Projects:

Data Cleaning & Visualization of Scraped Data

SQL Projects: E-commerce, HR, and Sales

Using ChatGPT/OpenAI to Automate Analytics Tasks

Time Series Forecasting with Python

AI-Powered Dashboards

- Career Preparation:

Portfolio Building with Projects

Resume Tips & Job Interview Practice

Using ChatGPT to Write SQL Queries, Reports, and Summaries

Course Structure (What You Get):

This Bootcamp includes over 35+ sections, organized in a logical, beginner-friendly flow:

Python Programming Introduction.

Hands-On Python Projects.

Numpy & Pandas Deep Dive.

SQL for Beginners to Advanced.

SQL Aggregations, Joins & Functions.

Intermediate SQL Projects.

Data Preparation & Cleaning.

EDA & Visualization.

Statistics.

Machine Learning for Analysts.

AI Tools for Analysts (ChatGPT + Automation).

Real-World End-to-End Projects.

Career-Focused Modules.

Each module includes:

Video lectures (short, clear, and engaging)

Assignments and quizzes

Source code and datasets

Portfolio-ready projects

Bonus resources for job search

Tools You'll Use:

Python 3 & Jupyter Notebook

SQL (MySQL or PostgreSQL)

Pandas, Numpy, Seaborn, Matplotlib

Scikit-learn (Machine Learning)

Statsmodels (Statistics & Machine Learning)

ChatGPT & OpenAI (Automation & AI Tasks)

Data from Kaggle, Web Scraping, and CSVs

Why Python and SQL?

Python and SQL are the backbone of every successful data analyst and data scientist. This powerful combination empowers you to gather, organize, analyze, and visualize data from various sources effortlessly.

Python's simplicity and vast library ecosystem make it the go-to language for data-related tasks, while SQL enables efficient data retrieval from databases, enabling deeper analysis.

These highly sought-after skills are valued by top employers like Google, Facebook, Amazon, and more. With this course, you'll acquire job-ready data superpowers to propel your career forward.

Learn from a Top-Rated Instructor:
Gain insights from an experienced instructor with real-world expertise and industry knowledge. Benefit from their guidance as you level up your career opportunities and become a data analysis hero.

Enroll Now and Get Started:
This course caters to beginners looking to enter the field of data analysis, as well as intermediate analysts aiming to expand their Python and SQL skills. Kick-start your journey today and unlock a world of data-driven opportunities.

Who this course is for:
Are you want to learn more about SQL, PostgreSQL, or data analysis using Python & SQL?
Are you want to learn Python & SQL for data science?
Are you ready for upcoming Python & SQL interview questions?
Use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data.
Are you welling to learn Python Pandas & Data Visualization?

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