Modern Data Analyst: SQL, Python & ChatGPT for Data Analysis from Udemy

Welcome to Modern Data Analyst. The role of the data analyst has evolved and now it’s not enough to know Excel to be a data analyst. In this course, we will learn how to use SQL, Python & ChatGPT for Data Analysis.

First, we'll learn SQL from scratch. SQL is a programming language that will help us work with data. We’ll use a free database for this course: MySQL. Here are some of the SQL concepts this course covers.

- Basic SQL commands and clauses ( temporary tables, rank, etc

- Projects, exercises, and more.

Then we’ll learn Python from zero. Python is used for data analysts to collect data, explore data, and make visualizations. Here's what the Python section covers.

- Python Crash Course: We'll learn all the Python core concepts such as variables, lists, dictionaries, and more.

- Python for Data Analysis: We'll learn Python libraries used for data analysis such as Pandas and Numpy. We'll use them to do data analysis tasks such as cleaning and preparing data.

- Python for Data Visualization: We'll learn how to make visualizations with Pandas.

Finally, we'll learn ChatGPT for data analysis. We’ll learn how to use ChatGPT’s code interpreter to analyze data, extract data from websites, automate Excel reports, and more.

What makes this course different from the others, and why you should enroll?

This is the most updated and complete data analysis course. 3-in-1 bundle (SQL, Python and ChatGPT)
You'll learn traditional tools as well as modern tools used in data analysis
We'll solve exercises and projects to put into practice the concepts learned

Join me now and become a data analyst.

What's inside

Learning objectives

Learn sql to create queries and work with databases
Learn python to collect data, explore data and make visualizations

How to use chatgpt for data analysis
Exercises and data analysis projects

Learn sql to create queries and work with databases
Learn python to collect data, explore data and make visualizations
How to use chatgpt for data analysis
Exercises and data analysis projects

Syllabus

PART 1 - SQL

Welcome! (+ Resources for the course)

What is SQL MySQL?

What's a table?

What's a Primary Key?

What's a foreign key?

Installation MySQL

Section Overview

How to install MySQL on Windows

How to install MySQL on macOS

Data Types

Commands

Part 1 - Creating a database and table

Part 2-Creating a database and table

Importing Data with MySQL

The SELECT Command

Insert

Min

Max

Group by

Where

Sum

Average

Count

And

Or .

In .

Between

Order by

Having

Update + Set

Distinct

Functions

Left and Right

Length

Upper Lower

Repeat

Replace

Trim

Cast + Convert

Concat

Curdate, day, month

Date add

Other Important Concepts

Temporary Table

Joins

Subqueries

Case

Dense Rank

SQL Project

Part 1

Part 2

Part 3

PART 2 - Python

Installing Python and Jupyter Notebook through Anaconda

Jupyter Notebook Interface

Cell Types and Modes in Jupyter Notebook

Popular Keyboard Shortcuts in Jupyter Notebook

Python Basics

Hello World

Variables

Lists

Dictionary

If Statement

For Loop

Function

Modules

Introduction to Pandas and Numpy

Introduction to Pandas

How to Create a Dataframe

How to show a dataframe: head(), tail() and pd.options.display

Basic Attributes, Functions and Methods

Selecting One Column from a Dataframe

Selecting Two or More Columns from a Dataframe

Add New Column to a Dataframe (Simple Assignment)

Add New Column to a Dataframe with assign() and insert()

Operations in dataframes

The value_counts() method

Sort a DataFrame with the sort_values() method

The set_index() and sort_index() methods

Rename Columns and Index with rename()

Filtering Data

Filter a Dataframe Based on 1 Condition

Creating a Conditional Column from 2 Choices: np.where()

Filter a Dataframe Based on 2 or More Conditions: &, |

Creating a Conditional Column from More Than 2 Choices: np.select()

The isin() Method

Find Duplicate Rows with the duplicated() method

Drop Duplicate Elements with the drop_duplicates() method

Get and Count Unique Values with the unique() and nunique() methods

Data Extraction

loc() vs iloc()

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores SQL, Python, and ChatGPT for data analysis, which are standard skills in modern data analysis

Taught by Frank Andrade and Cristopher Kevin Gargate Osorio, who have not been explicitly recognized for their work in modern data analysis

Develops SQL, Python, and ChatGPT skills, which are core skills for modern data analysis

Covers a variety of topics, including SQL commands and clauses, Python libraries, and ChatGPT applications

Provides exercises and projects to put concepts into practice, strengthening the learning process

Career center

Learners who complete Modern Data Analyst: SQL, Python & ChatGPT for Data Analysis will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts use data to solve business problems and make informed decisions. They collect, clean, and analyze data to identify trends and patterns. This course will help you develop the skills you need to become a successful Data Analyst. You will learn how to use SQL to query databases, Python to analyze data, and ChatGPT to automate tasks. This knowledge will give you a competitive edge in the job market.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use scientific methods to extract knowledge from data. They develop and implement machine learning models to solve business problems. This course will help you build a foundation in data science. You will learn how to use SQL to query databases, Python to analyze data, and ChatGPT to automate tasks. This knowledge will be invaluable in your role as a Data Scientist.

See salaries and explore the career path for Data Scientist

Business Analyst

Business Analysts help organizations understand their business needs and develop solutions to improve performance. They use data to identify opportunities and risks. This course will help you develop the skills you need to become a successful Business Analyst. You will learn how to use SQL to query databases, Python to analyze data, and ChatGPT to automate tasks. This knowledge will give you a competitive edge in the job market.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts use data to analyze and make recommendations on financial investments. They use a variety of tools and techniques to assess the risk and return of investments. This course will help you develop the skills you need to become a successful Financial Analyst. You will learn how to use SQL to query databases, Python to analyze data, and ChatGPT to automate tasks. This knowledge will give you a competitive edge in the job market.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk Analysts use data to identify and assess risks. They develop and implement models to help organizations manage risk. This course will help you develop the skills you need to become a successful Risk Analyst. You will learn how to use SQL to query databases, Python to analyze data, and ChatGPT to automate tasks. This knowledge will give you a competitive edge in the job market.

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Database Administrator

Database Administrators (DBAs) are responsible for the maintenance and performance of databases. They ensure that data is accurate, secure, and accessible to users. This course can help you build a strong foundation in SQL, which is a key skill for DBAs. You will learn how to create and manage databases, write queries, and optimize database performance. This knowledge will be invaluable in your role as a DBA.

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Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models. They use a variety of programming languages to create models that can learn from data and make predictions. This course will help you build a strong foundation in Python, which is a popular programming language for machine learning. You will learn how to use Python to write code, debug problems, and test machine learning models. This knowledge will be invaluable in your role as a Machine Learning Engineer.

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Data Engineer

Data Engineers design and build data pipelines. They use a variety of programming languages to create pipelines that can collect, clean, and transform data. This course will help you build a strong foundation in Python, which is a popular programming language for data engineering. You will learn how to use Python to write code, debug problems, and test data pipelines. This knowledge will be invaluable in your role as a Data Engineer.

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Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They develop and implement models to help organizations make informed decisions about financial and insurance risks. This course will help you build a strong foundation in Python, which is a popular programming language for actuarial science. You will learn how to use Python to write code, debug problems, and test models. This knowledge will be invaluable in your role as an Actuary.

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Operations Research Analyst

Operations Research Analysts use mathematical and statistical techniques to solve business problems. They develop and implement models to improve efficiency and productivity. This course will help you build a strong foundation in Python, which is a popular programming language for operations research. You will learn how to use Python to write code, debug problems, and test models. This knowledge will be invaluable in your role as an Operations Research Analyst.

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Statistician

Statisticians use mathematical and statistical techniques to collect, analyze, and interpret data. They develop and implement models to help organizations make informed decisions. This course will help you build a strong foundation in Python, which is a popular programming language for statistics. You will learn how to use Python to write code, debug problems, and test models. This knowledge will be invaluable in your role as a Statistician.

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Web Developer

Web Developers design and develop websites. They use a variety of programming languages to create websites that are user-friendly and meet the needs of users. This course will help you build a strong foundation in Python, which is a popular programming language for web development. You will learn how to use Python to write code, debug problems, and test websites. This knowledge will be invaluable in your role as a Web Developer.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical techniques to develop and implement trading strategies. They use a variety of programming languages to create models that can analyze data and make predictions. This course will help you build a strong foundation in Python, which is a popular programming language for quantitative finance. You will learn how to use Python to write code, debug problems, and test models. This knowledge will be invaluable in your role as a Quantitative Analyst.

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Project Manager

Project Managers plan, execute, and close projects. They use a variety of tools and techniques to manage projects and ensure that they are completed on time, within budget, and to the required quality. This course will help you develop the skills you need to become a successful Project Manager. You will learn how to use SQL to query databases, Python to analyze data, and ChatGPT to automate tasks. This knowledge will give you a competitive edge in the job market.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They use a variety of programming languages to create software that meets the needs of users. This course will help you build a strong foundation in Python, which is a popular programming language for software development. You will learn how to use Python to write code, debug problems, and test software. This knowledge will be invaluable in your role as a Software Engineer.

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