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Data Analysts Toolbox: Excel, SQL, Python, Power BI, Tableau

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Data Analysts Toolbox: Excel, SQL, Python, Power BI, Tableau, available at $19.99, has an average rating of 3.77, with 122 lectures, based on 26 reviews, and has 193 subscribers.

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You will learn about Develop a foundational understanding of data analysis principles and techniques. Master Excel functions and formulas for data manipulation, analysis, and visualization. Learn SQL for data querying, manipulation, and retrieval from relational databases. Acquire programming skills in Python for data handling, manipulation, and analysis. Create compelling data visualizations and dashboards using Power BI and Tableau. Apply learned skills to real-world data sets and scenarios. This course is ideal for individuals who are Aspiring Data Analysts: Individuals keen on pursuing a career in data analysis or transitioning into the field will find immense value in this course. It serves as a comprehensive introduction to the essential tools and techniques used in the data analytics domain. or Professionals Seeking to Upskill: Professionals working in diverse fields such as business, finance, marketing, healthcare, or any industry reliant on data-driven decision-making will benefit from enhancing their data analysis skills. Whether you're a business analyst, financial analyst, marketing professional, or from another field, this course equips you with the tools to extract meaningful insights from data. or Students and Graduates: Students pursuing degrees in fields related to data science, computer science, business analytics, or any discipline with an interest in data will discover a solid foundation in data analysis methodologies and tools, setting them on the path to excel in their academic pursuits and future careers. or Entrepreneurs and Small Business Owners: Entrepreneurs and small business owners seeking to harness the power of data to drive business growth and make informed decisions will find this course invaluable. Understanding how to analyze and visualize data can aid in optimizing strategies, identifying trends, and making data-driven decisions crucial for success. or Anyone Curious About Data Analysis: Individuals with a general interest in data analysis, regardless of their professional background, will benefit from acquiring practical skills in Excel, SQL, Python, Power BI, and Tableau. Whether you're a hobbyist, a curious mind, or someone looking to explore new horizons, this course provides a comprehensive understanding of data analysis tools. or This course caters to a diverse audience by delivering a structured learning experience that accommodates various skill levels and backgrounds. It's designed to empower learners with the essential skills required to navigate the intricate landscape of data analysis confidently, fostering a community of individuals passionate about deriving insights from data. It is particularly useful for Aspiring Data Analysts: Individuals keen on pursuing a career in data analysis or transitioning into the field will find immense value in this course. It serves as a comprehensive introduction to the essential tools and techniques used in the data analytics domain. or Professionals Seeking to Upskill: Professionals working in diverse fields such as business, finance, marketing, healthcare, or any industry reliant on data-driven decision-making will benefit from enhancing their data analysis skills. Whether you're a business analyst, financial analyst, marketing professional, or from another field, this course equips you with the tools to extract meaningful insights from data. or Students and Graduates: Students pursuing degrees in fields related to data science, computer science, business analytics, or any discipline with an interest in data will discover a solid foundation in data analysis methodologies and tools, setting them on the path to excel in their academic pursuits and future careers. or Entrepreneurs and Small Business Owners: Entrepreneurs and small business owners seeking to harness the power of data to drive business growth and make informed decisions will find this course invaluable. Understanding how to analyze and visualize data can aid in optimizing strategies, identifying trends, and making data-driven decisions crucial for success. or Anyone Curious About Data Analysis: Individuals with a general interest in data analysis, regardless of their professional background, will benefit from acquiring practical skills in Excel, SQL, Python, Power BI, and Tableau. Whether you're a hobbyist, a curious mind, or someone looking to explore new horizons, this course provides a comprehensive understanding of data analysis tools. or This course caters to a diverse audience by delivering a structured learning experience that accommodates various skill levels and backgrounds. It's designed to empower learners with the essential skills required to navigate the intricate landscape of data analysis confidently, fostering a community of individuals passionate about deriving insights from data.

Enroll now: Data Analysts Toolbox: Excel, SQL, Python, Power BI, Tableau

Summary

Title: Data Analysts Toolbox: Excel, SQL, Python, Power BI, Tableau

Price: $19.99

Average Rating: 3.77

Number of Lectures: 122

Number of Published Lectures: 122

Number of Curriculum Items: 122

Number of Published Curriculum Objects: 122

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will Learn

  • Develop a foundational understanding of data analysis principles and techniques.
  • Master Excel functions and formulas for data manipulation, analysis, and visualization.
  • Learn SQL for data querying, manipulation, and retrieval from relational databases.
  • Acquire programming skills in Python for data handling, manipulation, and analysis.
  • Create compelling data visualizations and dashboards using Power BI and Tableau.
  • Apply learned skills to real-world data sets and scenarios.

Who Should Attend

  • Aspiring Data Analysts: Individuals keen on pursuing a career in data analysis or transitioning into the field will find immense value in this course. It serves as a comprehensive introduction to the essential tools and techniques used in the data analytics domain.
  • Professionals Seeking to Upskill: Professionals working in diverse fields such as business, finance, marketing, healthcare, or any industry reliant on data-driven decision-making will benefit from enhancing their data analysis skills. Whether you're a business analyst, financial analyst, marketing professional, or from another field, this course equips you with the tools to extract meaningful insights from data.
  • Students and Graduates: Students pursuing degrees in fields related to data science, computer science, business analytics, or any discipline with an interest in data will discover a solid foundation in data analysis methodologies and tools, setting them on the path to excel in their academic pursuits and future careers.
  • Entrepreneurs and Small Business Owners: Entrepreneurs and small business owners seeking to harness the power of data to drive business growth and make informed decisions will find this course invaluable. Understanding how to analyze and visualize data can aid in optimizing strategies, identifying trends, and making data-driven decisions crucial for success.
  • Anyone Curious About Data Analysis: Individuals with a general interest in data analysis, regardless of their professional background, will benefit from acquiring practical skills in Excel, SQL, Python, Power BI, and Tableau. Whether you're a hobbyist, a curious mind, or someone looking to explore new horizons, this course provides a comprehensive understanding of data analysis tools.
  • This course caters to a diverse audience by delivering a structured learning experience that accommodates various skill levels and backgrounds. It's designed to empower learners with the essential skills required to navigate the intricate landscape of data analysis confidently, fostering a community of individuals passionate about deriving insights from data.

Target Audiences

  • Aspiring Data Analysts: Individuals keen on pursuing a career in data analysis or transitioning into the field will find immense value in this course. It serves as a comprehensive introduction to the essential tools and techniques used in the data analytics domain.
  • Professionals Seeking to Upskill: Professionals working in diverse fields such as business, finance, marketing, healthcare, or any industry reliant on data-driven decision-making will benefit from enhancing their data analysis skills. Whether you're a business analyst, financial analyst, marketing professional, or from another field, this course equips you with the tools to extract meaningful insights from data.
  • Students and Graduates: Students pursuing degrees in fields related to data science, computer science, business analytics, or any discipline with an interest in data will discover a solid foundation in data analysis methodologies and tools, setting them on the path to excel in their academic pursuits and future careers.
  • Entrepreneurs and Small Business Owners: Entrepreneurs and small business owners seeking to harness the power of data to drive business growth and make informed decisions will find this course invaluable. Understanding how to analyze and visualize data can aid in optimizing strategies, identifying trends, and making data-driven decisions crucial for success.
  • Anyone Curious About Data Analysis: Individuals with a general interest in data analysis, regardless of their professional background, will benefit from acquiring practical skills in Excel, SQL, Python, Power BI, and Tableau. Whether you're a hobbyist, a curious mind, or someone looking to explore new horizons, this course provides a comprehensive understanding of data analysis tools.
  • This course caters to a diverse audience by delivering a structured learning experience that accommodates various skill levels and backgrounds. It's designed to empower learners with the essential skills required to navigate the intricate landscape of data analysis confidently, fostering a community of individuals passionate about deriving insights from data.

The Data Analyst’s Toolbox course is designed to equip learners with essential skills in Excel, SQL, Python, Power BI, and Tableau, enabling them to efficiently collect, analyze, visualize, and present data. Through hands-on exercises, real-world applications, and practical examples, participants will gain proficiency in utilizing these tools to extract insights from data, make informed decisions, and communicate findings effectively.

Embark on an exhilarating journey into the world of data-driven insights with our comprehensive course, the “Data Analyst’s Toolbox: Excel, SQL, Python, Power BI, Tableau.” Dive headfirst into a dynamic learning experience tailored for aspiring data analysts, professionals seeking to upskill, or anyone intrigued by the power of data.

In this transformative course, you’ll unearth the fundamental pillars of data analysis through an immersive blend of theory and hands-on application. Beginning with the bedrock of Excel, you’ll harness its prowess, unraveling its complex functions and formulas to wield data manipulation and visualization like a seasoned pro. Seamlessly transition into the realm of SQL, where you’ll unravel the enigmatic databases, querying and manipulating data with finesse.

But that’s just the beginning. Brace yourself for an odyssey through Python, the programming language du jour in the data analytics sphere. From data wrangling with Pandas to crafting captivating visualizations using Matplotlib, you’ll discover Python’s unparalleled versatility in unlocking data’s hidden tales.

Yet, the adventure doesn’t halt there. Traverse through the landscape of Power BI and Tableau, where you’ll sculpt interactive dashboards and reports that breathe life into raw data. Witness how these tools metamorphose complex data sets into compelling visual narratives, empowering you to extract actionable insights effortlessly.

This course transcends the confines of theory, intertwining real-world applications and case studies that beckon you to apply newfound skills to tangible scenarios. Engage in a transformative capstone project, amalgamating all your knowledge and skills into a masterpiece that showcases your prowess in the data realm.

Join us on this transformative expedition, guided by seasoned industry experts committed to nurturing your analytical acumen. Whether you’re stepping into the data universe for the first time or seeking to fortify your skill set, this course promises an immersive, exhilarating voyage that unlocks the gates to a world brimming with data-driven possibilities. Unleash your potential as a data maestro and chart your course toward becoming a proficient, sought-after data analyst.

Course Curriculum

Chapter 1: Introduction to Data Analysis

Lecture 1: Introduction

Lecture 2: Understanding the role of a data analyst

Lecture 3: Overview of data analysis tools and their importance

Lecture 4: Introduction to key concepts in data analysis

Chapter 2: Excel for Data Analysis

Lecture 1: Introduction to Excel for Data Analysis

Lecture 2: Basic to advanced Excel functions and formulas

Lecture 3: Hands-on Practice of Functions and Formulas

Lecture 4: Using Formulas for Arithmetic Tasks

Lecture 5: Re-using Formulas

Lecture 6: Calculating YTD Profits

Lecture 7: Calculating Percentage Change

Lecture 8: Relative and Absolute Reference

Lecture 9: Using RANK Function

Lecture 10: STD Function

Lecture 11: Small and Large Functions

Lecture 12: Median Functions

Lecture 13: COUNT and COUNTA Functions

Lecture 14: What is Power Query

Lecture 15: Connecting to a data source

Lecture 16: Please Read

Lecture 17: Preparing your query

Lecture 18: Cleansing data

Lecture 19: Enhancing query

Lecture 20: What is Power Pivot

Lecture 21: Creating a data model

Lecture 22: Importing data and creating relationships

Lecture 23: Create lookups with DAX

Lecture 24: Analyze data with Pivot Tables

Lecture 25: Analyze data with Pivot Charts

Chapter 3: SQL Fundamentals

Lecture 1: Introduction to SQL and its applications in data analysis

Lecture 2: What is MySQL

Lecture 3: MySQL Installation (Windows)

Lecture 4: MySQL Installation (Mac)

Lecture 5: What is MySQL Workbench

Lecture 6: Installing MySQL Workbench ( Mac)

Lecture 7: Database Concepts

Lecture 8: What is a Schema

Lecture 9: What is a Database Schema

Lecture 10: MySQL Data Types

Lecture 11: Exploring Basic SQL Commands

Lecture 12: Showing existing databases

Lecture 13: Showing lists of tables

Lecture 14: Create a table

Lecture 15: Displaying table structure

Lecture 16: Changing table structure

Lecture 17: Creating MySQL Database

Lecture 18: Creating MySQL Table

Lecture 19: Setting a default database

Lecture 20: Primary Keys

Lecture 21: Foreign Keys

Lecture 22: SQL & MySQL SELECT Statement

Lecture 23: SQL & MySQL INSERT Statement

Lecture 24: SQL & MySQL UPDATE Statement

Lecture 25: SQL & MySQL DELETE Statement

Lecture 26: Introduction to Joins

Lecture 27: INNER JOIN

Lecture 28: LEFT JOIN

Lecture 29: RIGHT JOIN

Lecture 30: SELF JOIN

Lecture 31: What is sub query

Lecture 32: Nested sub query

Lecture 33: Filtering data with WHERE Clause

Lecture 34: Sorting data with ORDER BY Clause

Lecture 35: Grouping data with GROUP BY Clause

Lecture 36: What are aggregate functions

Lecture 37: AVG Aggregate Function

Lecture 38: COUNT Aggregate Function

Lecture 39: SUM Aggregate Function

Lecture 40: MIN Aggregate Function

Lecture 41: MAX Aggregate Function

Chapter 4: Data Analysis with Python and Jupyter Notebook

Lecture 1: What is Python

Lecture 2: Using Python in Data Analysis

Lecture 3: What is Jupyter Notebook

Lecture 4: Installing Jupyter Notebook Server

Lecture 5: Running Jupyter Notebook Server

Lecture 6: Jupyter Notebook Components

Lecture 7: Jupyter Notebook Dashboard

Lecture 8: Jupyter Notebook User Interface

Lecture 9: Creating a new notebook

Lecture 10: Kaggle Data Sets

Lecture 11: Tabular Data

Lecture 12: what is Pandas DataFrame

Lecture 13: Exploring Pandas DataFrame

Lecture 14: Manipulating a Pandas DataFrame

Lecture 15: What is data cleaning

Lecture 16: Basic data cleaning process

Lecture 17: What is data visualization

Lecture 18: Visualizing Qualitative Data

Lecture 19: Visualizing Quantitative Data

Chapter 5: Data Analysis with Power BI

Lecture 1: What is Power BI

Lecture 2: What is Power BI Desktop

Lecture 3: Installing Power BI Desktop

Lecture 4: Exploring Power BI Desktop

Lecture 5: Power BI Overview: Part 1

Lecture 6: Power BI Overview: Part 2

Instructors

Rating Distribution

  • 1 stars: 2 votes
  • 2 stars: 3 votes
  • 3 stars: 6 votes
  • 4 stars: 7 votes
  • 5 stars: 8 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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