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Become a Data Analyst: Excel, SQL & Tableau - 3-in-1 Bundle | Free Udemy Course
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Become a Data Analyst: Excel, SQL & Tableau - 3-in-1 Bundle | Free Udemy Course

Free $19.99100% off
Price expires 1 year ago or 325 uses

Boost Your Career with Data Analytics: Learn Excel, SQL & Tableau for Advanced Business Insights & Competitive Advantage | Free Udemy Course

new
4
(2 ratings)
1687 students
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Last updated 3/2023Course Language EnglishCourse Caption English [Auto]Course Length 25:54:00 to be exact 93240 seconds!Number of Lectures 216
This course includes:
  • 26 hours hours of on-demand video
  • 5 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

If you are interested in becoming a data analyst, but feel overwhelmed by the technical skills required, this "Become a Data Analyst: Excel, SQL & Tableau - 3-in-1 Bundle" course is designed for you. You'll learn Excel, SQL, and Tableau - the essential tools for data analysis - and develop the skills to turn raw data into insights that drive better business decisions.In this course, you will:Develop advanced Excel skills to manipulate and analyze dataMaster SQL queries to extract data from databasesCreate stunning data visualizations in Tableau to communicate insightsLearning these skills will allow you to excel as a data analyst, and open up new career opportunities. You'll practice real-world examples and complete hands-on exercises, so you can apply your new skills to real-world situations.This course is different because it offers a comprehensive, 3-in-1 bundle approach that covers all of the key skills required to become a successful data analyst. The course is also taught in an engaging and easy-to-understand format, so you can learn at your own pace and confidently apply your skills in the workplace.What makes us qualified to teach you?The course is taught by Abhishek (MBA - FMS Delhi, B. Tech - IIT Roorkee) and Pukhraj (MBA - IIM Ahmedabad, B. Tech - IIT Roorkee). As managers in the Global Analytics Consulting firm, we have helped businesses solve their business problems using Analytics and we have used our experience to include the practical aspects of business analytics in this course. We have in-hand experience in Business Analysis.We are also the creators of some of the most popular online courses - with over 1,200,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyWhat is covered in this course?The analysis of data is not the main crux of analytics. It is the interpretation that helps provide insights after the application of analytical techniques that makes analytics such an important discipline. We have used the most popular analytics software tools which are MS Excel, SQL, and Tableau. This will aid the students who have no prior coding background to learn and implement Analytics and Machine Learning concepts to actually solve real-world problems of Data Analysis.Let me give you a brief overview of the coursePart 1 - Excel for data analyticsIn the first section, i.e. Excel for data analytics, we will learn how to use excel for data-related operations such as calculating, transforming, matching, filtering, sorting, and aggregating data.We will also cover how to use different types of charts to visualize the data and discover hidden data patterns.Part 2 - SQL for data analyticsIN the second section, i.e. SQL for data analytics, we will be teaching you everything in SQL that you will need for Data analysis in businesses. We will start with basic data operations like creating a table, retrieving data from a table etc. Later on, we will learn advanced topics like subqueries, Joins, data aggregation, and pattern matching.Part 3 - Data visualization using TableauIn this section, you will learn how to develop stunning dashboards, visualizations and insights that will allow you to explore, analyze and communicate your data effectively. You will master key Tableau concepts such as data blending, calculations, and mapping. By the end of the course, you will be able to create engaging visualizations that will enable you to make data-driven decisions confidently.Our PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet, or anything related to any topic, you can always post a question in the course or send us a direct message.Don't let technical skills hold you back from pursuing a career in data analysis. Enroll now and start your journey towards becoming a data analyst.Who this course is for:Anyone curious to master Data Analysis in a short span of timeIndividuals who want to pursue a career in data analysis, business intelligence, or data visualizationProfessionals who want to upskill and add value to their existing roles by learning data analysisAspiring data analysts who want to develop the skills to turn raw data into actionable insightsSmall business owners who want to use data to drive better decision-making in their companies

Course Content:

Sections are minimized for better readability, click the section title to view the course content

1 Lectures | 04:26
8 Lectures | 01:07:10
9 Lectures | 01:17:00
2 Lectures | 18:55
1 Lectures | 18:00
1 Lectures | 08:25
16 Lectures | 02:15:28
1 Lectures | 05:05
4 Lectures | 26:28
2 Lectures | 14:24
1 Lectures | 12:26
1 Lectures | 09:57
1 Lectures | 15:28
2 Lectures | 20:51
1 Lectures | 04:45
2 Lectures | 10:14
2 Lectures | 10:38
11 Lectures | 01:12:31
4 Lectures | 22:58
3 Lectures | 18:50
3 Lectures | 12:41
1 Lectures | 03:33
4 Lectures | 15:42
2 Lectures | 16:46
1 Lectures | 05:17
11 Lectures | 01:03:16
3 Lectures | 14:20
2 Lectures | 13:39
7 Lectures | 30:32
5 Lectures | 17:20
3 Lectures | 16:31
3 Lectures | 22:51
10 Lectures | 01:28:45
1 Lectures | 05:57
2 Lectures | 16:35
2 Lectures | 13:12
4 Lectures | 20:05
8 Lectures | 19:33
4 Lectures | 11:58
3 Lectures | 18:30
4 Lectures | 31:51
7 Lectures | 54:56
3 Lectures | 22:23
3 Lectures | 29:13
4 Lectures | 32:21
8 Lectures | 53:20
9 Lectures | 01:25:25
9 Lectures | 01:09:45
7 Lectures | 01:37:45
3 Lectures | 31:10
3 Lectures | 32:58
2 Lectures | 09:19
2 Lectures | 02:30
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