• Post category:StudyBullet-16
  • Reading time:10 mins read


Unleash Excel for Complete Data Analysis. Master Important Functions, PivotTables, Analysis Tools, Graphs and Dashboard.

What you will learn

You will learn to clean and format data, including removing duplicates, handling missing data, and managing outliers to ensure data integrity.

You will learn advanced techniques for sorting and filtering data to efficiently extract relevant insights from large datasets.

You will learn how to apply conditional formatting in Excel to visually highlight key trends, insights, and anomalies within your data.

You will learn essential Excel formulas and functions such as SUM, AVERAGE, COUNT, IF statements and MORE, enabling you to manipulate data effectively.

You will learn to utilize Excel’s lookup functions (VLOOKUP, HLOOKUP, XLOOKUP) to efficiently search for and retrieve specific information within datasets.

You will learn various graph and chart types in Excel for data visualization, including bar charts, pie charts, scatter plots, and more to communicate insights.

You will learn advanced analysis using PivotTables and PivotCharts, enabling you to analyze, and visualize complex datasets with ease and interactivity.

You will learn to use Excel’s built-in data analysis tools for statistical analysis, i.e., descriptive statistics, t-tests, ANOVA, correlation, and regression.

You will learn to design and create dynamic DASHBOARD in Excel, by a visually interactive format for effective decision-making and reporting.

You will learn best practices for enhancing your Excel dashboard, including layout optimization, graphical elements, etc., to maximize impact and usability.

Description

Unlock the power of data analysis with Excel in this comprehensive course designed to take you from novice to proficient data analyst. Whether you’re new to Excel or looking to expand your skills, this course equips you with the essential tools and techniques to excel in data analysis.

Throughout the course, you’ll dive deep into data cleaning and formatting, learning how to remove duplicates, handle missing data, and manage outliers effectively. You’ll discover advanced sorting and filtering methods to extract valuable insights from complex datasets, and you’ll master conditional formatting to visually highlight trends and anomalies.

With a focus on practicality, you’ll gain proficiency in essential Excel formulas and functions for calculations, date manipulation, and conditional operations. You’ll also harness the power of lookup functions to quickly retrieve specific information, streamlining your analysis workflow.

Data visualization is a key component of effective analysis, and you’ll learn to create a variety of graphs and charts in Excel to communicate insights with clarity. From bar charts to scatter plots, you’ll explore different visualization techniques to enhance data interpretation and presentation.


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PivotTables and PivotCharts offer dynamic ways to summarize and analyze data, and you’ll learn how to leverage these tools for advanced analysis and visualization. Additionally, you’ll delve into Excel’s statistical analysis tools, performing tasks such as descriptive statistics, t-tests, correlation, and regression analysis.

As you progress, you’ll bring your newfound skills together to create dynamic dashboards in Excel, consolidating information into visually appealing and interactive formats for effective decision-making and reporting. You’ll refine your dashboard with layout optimization and graphical elements, ensuring maximum impact and usability.

By the end of this course, you’ll emerge as a proficient Excel user, equipped with the knowledge and skills to tackle data analysis challenges confidently and efficiently. Whether you’re a professional seeking to enhance your career prospects or a student aiming to develop practical Excel expertise, this course empowers you to master data analysis from zero to hero.

English
language

Content

Don’t Ignore It. Start From Here!

Instructions you MUST follow
Excel functions and shortcuts cheatsheet

Necessary Foundation of Data Analysis

What is data analysis?
Key components of data analysis
Methods of exploratory data analysis Part 1
Methods of exploratory data analysis Part 2
Methods of exploratory data analysis Part 3
Necessary foundation on data analysis

Necessary Foundation of Statistical Analysis

What is statistical data analysis?
Population v/s sample and its methods
Types of statistical data analysis
Inferential statistics Part 1 – T-tests and ANOVA
Inferential statistics Part 2 – Relationships measures
Inferential statistics Part 3 – Linear regression
Necessary foundation on statistical analysis

Necessary Foundation on Hypothesis Testing

Hypothesis testing for inferential statistics
Selecting statistical test and assumption testing
Confidence level, significance level, p-value
Making decision and conclusion on findings
Complete statistical analysis and hypothesis testing
Necessary foundation on hypothesis testing

Data Cleaning and Formatting in Excel

Identify and remove duplicates
Dealing with missing values
Defining and removing outliers
Dealing with inconsistent values
Text-to-columns for data separation

Sorting and Filtering Datasets

Sorting and filtering for data precision
Advanced filtering with criteria

Conditional Formatting for Tabular Analysis

Highlighting cells based on conditions
Findings top and bottom insights
Creating color scales and color bars

Formulas and Functions for Analyzing data

SUM, AVERAGE, MIN, and MAX functions
SUMIF, and AVERAGEIF functions
COUNT, COUNTA, and COUNTIF functions
YEAR, MONTH and DAY for date manipulation
IF STATEMENTs for conditional operation
VLOOKUP for column-wise insight search
HLOOKUP for row-wise insight search
XLOOKUP for robust & complex insight search

Graphs and Charts for Data Visualization

Data analysis with Stacked and cluster bar charts
Data analysis with Pie chart and line chart
Data analysis with Area chart and TreeMap
Data analysis with Boxplot and Histogram
Data analysis with Scatterplot and Combo chart
Adjusting and decorating graphs and charts

Advanced Analysis in PivotTables and PivotCharts

PivotTables for group data analysis PART 1
PivotTables for crosstab data analysis PART 2
PivotCharts and Slicers for interactivity

Data Analysis Tools for Statistical Analysis

Descriptive statistics and analysis
Independent sample t-test
Paired sample t-test
Analysis of variance – One way
Correlation test – relationship measure
Regression analysis – influence measure

Building Dashboard in Excel

Integrating analysis and graphs for dashboard
Building a canvas for implementing dashboard
Creating dashboard with drag and drops
Final adjustment of dashboard elements

Final Project – Data Analysis A-Z in Excel

Final remark for you