Data Analyst Foundation Track - Online Learning with Certificate

Data Analyst Foundation

Beginner

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This track equips you with essential skills and technologies for data analysis. Starting with Excel, you'll learn data organization, manipulation, and…

135

Chapters

Learning hours

209

Assignments

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What you will learn

You will learn how to efficiently organize, analyze, and visualize data using Excel, mastering essential spreadsheet skills.

You will be able to combine your Excel, SQL, and Power BI skills to analyze data from multiple sources and present comprehensive insights.

You will gain the ability to write and optimize SQL queries to manage and extract insights from databases.

You will understand how to create powerful, interactive reports and dashboards using Power BI to present data-driven decisions.

Learning track content

Kickstart your journey with Excel by understanding its interface, basic functions, and essential data entry techniques. Learn how to navigate toolbars, worksheets, and master the fundamental elements to set a solid foundation.

Course Overview

Getting Acquainted with Excel

Excel Interface

Excel Data Entry

Dive deeper into Excel by exploring advanced data entry and formatting options. Sharpen your skills in text and number formatting, discover how to effectively use styles, and enhance spreadsheet readability and functionality.

Excel Cell Formatting

Text Formatting in Excel

Number Formatting in Excel

Unleash the power of Excel with an introduction to basic formulas and functions. Gain confidence in creating calculations, using cell references, and employing key functions like SUM, AVERAGE, MIN and MAX to automate and simplify your data analysis tasks.

Introduction to Formulas and Functions in Excel

Working with Excel Cell References

Essential Excel Functions

Using the Insert Function Tool in Excel

In this section, you will master advanced Excel formulas and functions, enhancing your ability to manage complex calculations. Learn to display and audit formulas, utilize nested and logical statements, and apply conditions effectively to streamline your data analysis tasks.

Displaying and Highlighting Excel Formulas

Mastering IF Logical Tests and Relational Operators in Excel

Using Nested IF Statements

Combining AND & OR in Excel

Auditing Excel Tools

Excel Conditional Formatting

Explore comprehensive techniques for sorting, filtering, and managing data efficiently. This section covers everything from basic data organization to advanced filtering and table management, ensuring you can handle and analyze data effectively.

Sorting Data in Excel

Filtering Data Using AutoFilter

Clearing and Reapplying Filters in Excel

Excel Rules and Advanced Search Techniques

Creating and Managing Tables in Excel

Excel Table Styles and Quick Formatting

Using Excel Table Tools

Dive into the art of data visualization using Excel's powerful charting tools. You'll learn to create various types of charts, customize them to enhance visual appeal, and manipulate data within charts to present clear and compelling visual stories.

Excel Chart Types

Creating a Basic Chart in Excel

Customizing Excel Chart Elements

Changing Chart Styles and Colors in Excel

Adding and Removing Chart Elements

Editing Chart Data in Excel

Adding Trendlines to Excel Charts

Gain proficiency in managing worksheets and workbooks within Excel. This section teaches you how to effectively organize and manipulate workbook elements, utilize formatting tools, and secure your work with passwords, providing a thorough grounding in workbook operations.

Managing Excel Worksheets: Add, Delete, Rename, and Rearrange

Grouping and Ungrouping Worksheets in Excel

Using the Format Painter in Excel

Inserting and Deleting Columns, Rows, and Cells in Excel

Hiding and Unhiding Columns and Rows in Excel

Saving Workbooks in Excel

Opening and Closing Workbooks

Protecting Excel Workbooks with Passwords

Using Excel Templates

Summary

In this section, we will learn how to use the SQL SELECT statement to get a single table column, multiple table columns, and all table columns. We will also find out how to return unique values.

Retrieving Individual Columns

Retrieving Multiple Columns

Retrieving All Columns

Retrieving Distinct Rows

Limiting Results

Challenge: Find the Population of the Countries

Challenge: Find All Countries

Challenge: Find All Countries With Their IDs

Challenge: Find Country Capitals

Challenge: Find the Regions in Which All Countries Are Located

In this section, we’ll explore how to organize and prioritize the data returned by a query using the ORDER BY clause. Placed at the end of a SELECT statement, this clause lets you sort your results by one or multiple columns, either in ascending or descending order, enabling more meaningful and easily interpretable data output.

Sorting Data

Challenge: Population Sort

Sorting by Multiple Columns

Challenge: Dual-Sort Query

Specifying Sort Direction

Challenge: Sort the Countries by Region and Capital

Challenge: Sort Capitals in Descending Order

Challenge: Sort Countries in Ascending Order

Challenge: Find Countries, Their IDs, and Their Populations

Challenge: Find Countries, IDs, Populations, Regions, and Sort Them

Challenge: Find All Continents and Sort Them in Ascending Order

In this section, we will learn how to filter returned data using the SELECT statement's WHERE clause. We will learn how to test for equality, inequality, more and less significant than value ranges, and NULL values.

Using the WHERE Clause

Challenge: North America Population Sort

The WHERE Clause Operators

Challenge: Population Threshold Query

Checking for a Range of Values

Checking for NO Value

In this section, we’ll explore how to refine your search conditions by combining WHERE clauses with the AND and OR operators. We’ll also cover how the NOT operator can be used to exclude certain results.

Using the AND Operator

Challenge: Europe Region Sort

Using the OR operator

Challenge: America Regions Filter

Using the NOT Operator

Challenge: Non-Europe Capitals Sort

In this section, we will learn what the SQL aggregate functions are and how to use them to summarize table data.

The AVG() Function

Challenge: Surface Area Selection

The COUNT() Function

Challenge: Continental Count

The MAX() Function

The MIN() Function

Challenge: Large Surface Area Average

The SUM() Function

In this section, you will learn how to group and manage data effectively. We will introduce the GROUP BY operator for grouping data. Additionally, you will learn how to filter grouped data using the HAVING operator.

GROUP BY Clause

Order of Statements

Challenge: Total Ride Time for Each Subway Line

Challenge: Average Student's Grade

Searching for the Top Math Students Challenge

HAVING Clause

Several Aggregate Functions in the Query

More Complex Filtering

You will learn about nested subqueries, how to create them, and how to use them effectively.

Nested Queries

Challenge: Non-tech Department Employees

Using Inner Subqueries in the FROM Section

Challenge: Employees With More Than Average Salary

UNION Clause

Challenge: Combining Table Results

Here, you will learn how to combine multiple tables, allowing you to work with a unified table and simplify query creation.

JOIN 2 Tables

Challenge: Get Category By Product Price

Challenge: Get Minimum Price By Category

Challenge: Get Product Amount By Category

LEFT, RIGHT and INNER JOINs

Challenge: Table Join

Challenge: FULL JOIN Usage

Learn the fundamentals of Data Definition Language (DDL) and Data Manipulation Language (DML) in SQL, including how to create, modify, and delete database objects, as well as how to insert, update, and delete data within tables.

CREATE and Constraints

ALTER and INSERT Operations

DROP and TRUNCATE

UPDATE and DELETE

Dive into the world of Power BI and build a solid foundation. You'll cover everything from installation and setup to connecting data sources and creating your first report.

What is Power BI?

Installation and Setup

Overview of Power BI

Connecting to Data Sources

Basics of Power Query

Creating Your First Report

Explore essential data preparation techniques, including cleaning, transforming, and combining multiple data sources. You'll also tackle handling missing values, data profiling, and various data manipulation methods.

Data Cleaning and Transformation

Data Profiling and Exploration

Handling Missing Values

Creating Columns

Handling Multiple Data Sources

Appending and Merging Data

Pivoting Data

Master the fundamentals of data modeling, from understanding data models and creating relationships to getting the hang of DAX basics. You'll also learn to create measures and calculated columns.

Introduction to Data Models

Creating Relationships

DAX (Data Analysis Expressions) Basics

Measures, Quick Measures, and Calculated Columns

Discover various visualization techniques and customize visuals for better insights. You'll also explore advanced features like slicers, filters, and drill-down/drill-through capabilities to enhance your data analysis.

Creating Visualizations

Map and Tool Tips

Slicers and Filters

Drilldown and Hierarchies

Boost the usability and storytelling power of your reports by using themes, configuring report pages, and leveraging advanced features like the Analyze feature and identifying outliers. You'll also create groups, bins, and clusters for deeper insights.

Using Themes

Configuring Report Page

Using Shapes and Buttons

Creating Groups and Bins

Analyzing Features

Finding Anomalies

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