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Description

Join to over 5,000 students and learn Excel, Statistics, SQL, and Power BI in one course to analyze data, identify trends, design visualizations, and drive business decisions with real‐world data sets. Gain a competitive advantage in the job market.
WHY WOULD YOU CHOOSE TO LEARN DATA ANALYSIS TOOLS?
Data analysis is a process of inspecting, cleaning, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making. Data Analyst is one of the sexiest jobs in nowadays. Knowing of Excel, MySQL, Power BI and Statistics can get you a promotion and make you a rock star at your company.
WHY TAKE THIS SPECIFIC COURSE?
This course is concentrated on the most important tools for performing data analysis on the job. In this course you'll play the role of data analyst at a delivery company and you'll be working with real-life data sets. You will learn both technical and business thinking skills, and get important skills to get hired. You don't need to spend months to learn data analysis tools. As you go through the course, you'll be able to apply what you learnt immediately to your job.
Author of this course has over 10 years of working experience in large financial organizations and over 5 years of experience of online and in-person trainings. He has dozens of courses on Excel, SQL, Power BI, Access, and more than 20,000 students in total. Surely he knows what you need.
HERE WHY THIS COURSE IS ONE OF THE BEST COURSES ON UDEMY:
★★★★★
Mary Rose
It was well explained and captured the basic elements of the 4 skills.
★★★★★
Vinh Au
This is one of the best course that I've taken. The instructor show just enough example to help you understand the concept within a short period of time. No unnecessary information. If you are a beginner and try to learn data analysis. This is the course to take. Highly recommend.
★★★★★
Irina Arakelyan
Very comprehensive course with real work with data and real examples. I found all what I need in one course. I appreciate this instructor and really recommend this course.
WHAT ARE SOME TOOLS AND TECHNIQUES YOU WILL LEARN IN THIS COURSE?
You'll learn:
1. MS Excel:
· Unlock the power of MS Excel to utilize its analytical tools — no matter your experience level.
· Execute conditional aggregation commands (SUBTOTAL, SUMIFS, COUNTIFS, etc.) to summarize data.
· Practice applying the Pivot Table tool for data analysis of a sample business case.
· Use the VLOOKUP, INDEX and MATCH functions to manipulate data sets in MS Excel.
2. Statistics:
· Understand the value of descriptive and predictive statistics.
· Learn to describe data using its Mean, Median, Mode, Range, and Variance.
· Create Linear regression model by using Data Analysis ToolPak in MS Excel.
· Perform A/B Testing and calculate Statistical Significance of your test.
3. MySQL:
· Filter data using advanced SQL commands (Select, Where, Group By, Having, Order By, Limit).
· Obtain data by creating relationships between tables using Joins.
· Summarize data sets by employing aggregation commands (“Sum,” “Average,” “Count,” etc.).
· Use CASE statements to structure data and create new attributes.
4. Power BI:
· Get hands-on, practical experience navigating the Power BI software interface.
· Connect your data to Power BI and identify the best ways to visualize and display your results.
· Analyze and visualize your data in Power BI in order to answer basic questions.
· Create advanced interactive dashboards for presentation.
So, what are you waiting for? Join today and get immediate, lifetime access to the following:
·
8+ hours on-demand video
·
Downloadable project files
·
Practical exercises & quizzes
·
1-on-1 expert support
·
Course Q&A forum
·
30-day money-back guarantee
·
Digital Certificate of Completion
See you in there!
Sincerely,
Vardges Zardaryan
P.S.
Looking to master the full Microsoft Excel, Power BI + SQL stack? Search for "Vardges Zardaryan" and complete the courses below to become a Data Analysis Rock Star:
1. Mastering Data Analysis in Excel
2. Mastering Data Analysis with Power BI
3. Data Analyst’s Toolbox: Excel, SQL, Power BI
4. The Complete Introduction to SQL for Data Analytics
Who this course is for:
Anyone looking for hands-on data analysis course and real-life projects
Anyone looking to pursue a career in data analysis or business intelligence
Business professionals looking to improve their analytical skills and learn more tools for that
Anyone looking to learn different softwares for effective data analysis
Data analysts looking to continue their professional development and career advancement
Students who want a comprehensive, engaging, and highly interactive approach to training

What you'll learn

Get hands-on experience with 4 groups of skills that needs each data analyst - Excel, SQL, Statistics, and Power BI

Learn MS Excel for cleaning, preparing, calculating and analysing data

Learn how to write advanced Excel formulas by SUBTOTAL, SUMIFS, COUNTIFS, AVERAGEIFS, VLOOKUP, INDEX, MATCH and other 50+ functions

Learn Pivot Tables so you can quickly get insights from your data

Learn Statistical Analysis in MS Excel by Data Analysis ToolPak including Descriptive statistics and Linear regression

Learn how to perform A/B testing and what is P-value

Start using MySQL – the #1 Database Management System

Learn how to write complex SQL queries to obtain useful information from the database

Learn Microsoft Power BI for analysing and visualizing data

Learn how to connect Power BI to an Excel file and MySQL database and create interactive dashboards for these datasets

Put all 4 groups of skills together for identifying insights and trends based on real-life data sets

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Course Overview
1
1.1-Welcome to the Course
2------ PART 1. Exploring Data in MS Excel -----
2
2.1-MS Excel for Data Analysis
2.2-Introduction to Data Analyst Role
3-Cleaning and Preparing Tools
6
3.1-Sort and Filter
3.2-Text to Columns
3.3-Remove Duplicates
3.4-Data Validation
3.5-Find, Replace, Go to
3.6-Data Entry Form
4-Advanced Forumals and Functions
7
4.1-Logical Functions: IF, AND, OR
4.2-Math Functions: SUM, COUNT, SUBTOTAL
4.3-Text Functions: LEFT, RIGHT, CONCATENATE, LEN, LOWER, UPPER, PROPER
4.4-Date Functions: YEAR, MONTH, DAY, EOMONTH, DATE
4.5-Conditional Functions: SUMIF, COUNTIF, SUMIFS, COUNTIFS
4.6-Statistical Functions: AVERAGE, AVERAGEIF, AVERAGEIFS
4.7-Financial Functions: PMT, PV, FV, RATE, NPER, NPV, IRR
5-Pivot Tables and Lookup Functions
11
5.1-Introduction to Pivot Table
5.2-Calculated Fields in Pivot Table
5.3-Grouping Data with Pivot Table
5.4-GetPivotData
5.5-VLOOKUP with Exact Match
5.6-INDEX and MATCH functions
5.7-VLOOKUP with Approximate Match
5.8-Format as Table
5.9-Data Model
5.10-Slicer in Pivot Table
5.11-Conditional Formatting
6-Part 1 Completed
1
6.1-Quiz 1
7------ PART 2. Statistical Analysis with Excel -----
2
7.1-Calculation of Statistical Metrics
7.2-Scatter Plots
8-Data Analysis ToolPak
4
8.1-Activation of Data Analysis ToolPak
8.2-Descriptive Statistics
8.3-Histogram
8.4-Correlation
9-Linear Regression Analysis
3
9.1-Linear Regression
9.2-Explanation of the Output of Regression
9.3-Muliple Linear Regression
10-A/B Testing
3
10.1-Introduction to A/B Testing
10.2-Visualization of A/B Testing
10.3-Statistical Significance
11-Part 2 Completed
1
11.1-Quiz 2
12------ PART 3. Managing Data with MySQL -----
2
12.1-What are SQL and MySQL
12.2-Installing MySQL Workbench
13-Basic SQL Queries
8
13.1-Create Table and Insert Data
13.2-SELECT (DISTINCT) Statement
13.3-WHERE clause
13.4-AND, OR, NOT, IN, and BETWEEN Operators
13.5-LIKE Operator
13.6-INSERT INTO and DELETE FROM Statements
13.7-UPDATE SET Statement
13.8-ORDER BY Statement
14-Intermediate Statements and Functions
6
14.1-Aggregate Functions
14.2-SQL Subqueries
14.3-GROUP BY Statement
14.4-HAVING Statement
14.5-SQL JOINS
14.6-CASE Statement
15-Advanced Tips and Tricks in MySQL
6
15.1-SQL Query - Best Practices
15.2-Comments in SQL
15.3-Export and Import Data
15.4-Stored Procedures
15.5-Practical Exercises with Solutions (Part 1)
15.6-Practical Exercises with Solutions (Part 2)
16-Part 3 Completed
1
16.1-Quiz 3
17------ PART 4. Visualization with Power BI -----
2
17.1-Power BI vs MS Excel
17.2-Installing Power BI Desctop
18-Data Connection and Preparation
11
18.1-Connect to XLSX File
18.2-Connect to CSV File
18.3-Connect to SQL Database
18.4-Basic Transformations
18.5-Working with Dates
18.6-Splitting Columns
18.7-Conditional Columns
18.8-Calculated Columns
18.9-Calculation of Statistics
18.10-Apply Transformations
18.11-Managing Data Relationships
19-Charts and Visualization Techniques
13
19.1-Stacked Bar Chart
19.2-100% Stacked Column Chart
19.3-Pie and Donut Charts
19.4-Column Chart with Line
19.5-Treemap Charts
19.6-Map and Filled Map Charts
19.7-Waterfall Chart
19.8-Gauge Chart
19.9-Card and KPI
19.10-Table and Matrix
19.11-Slicer for Interactive Dashboards
19.12-Shapes, Textboxes, and Images
19.13-Visual Relationship
20-Extra Functionalities in Power BI
6
20.1-Duplicate Page
20.2-See and Export Data
20.3-Enter New Data Manually
20.4-Update Project Data
20.5-Wrapping Up of Power BI
20.6-Power Add-ins in Excel
21-Part 4 Completed
1
21.1-Quiz 4
22------ Congratulations -----
2
22.1-Conclusion
22.2-Next Steps