Data Analytics using Excel

By Sanyam Gupta Categories: Advanced Technology

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Course Content

Introduction to Data Analysis and Excel Basics

Introduction to data analysis and its importance
Understanding the role of a data analyst
Overview of Microsoft Excel and its features
Navigating the Excel interface
Basic formula writing and cell referencing
Formatting data and cells

Data Cleaning and Preparation

Data Visualization with Excel

Advanced Excel Functions for Data Analysis

Exploratory Data Analysis (EDA)

Data Analysis Techniques

Data Presentation and Reporting

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Course Content

Introduction to Data Analysis and Excel Basics

Introduction to data analysis and its importance

Understanding the role of a data analyst

Overview of Microsoft Excel and its features

Navigating the Excel interface

Basic formula writing and cell referencing

Formatting data and cells

Data Cleaning and Preparation

Importance of data cleaning and data quality

Identifying and handling missing values

Dealing with duplicate records

Text-to-columns and data transformation techniques

Using Find and Replace for data cleanup

Applying filters and sorting data

Data validation and error checking

Data Visualization with Excel

Principles of data visualization

Creating basic charts (bar charts, line charts, pie charts)

Formatting and customizing charts

Using data labels and legends effectively

Creating sparklines for quick trends analysis

Creating and formatting tables

Conditional formatting for highlighting data insights

Advanced Excel Functions for Data Analysis

Introduction to advanced functions (VLOOKUP, HLOOKUP, INDEX, MATCH)

Using logical functions (IF, AND, OR)

Working with text functions (CONCATENATE, LEFT, RIGHT, MID)

Date and time functions (TODAY, NOW, DATE, TIME)

Using statistical functions (AVERAGE, COUNT, SUMIF, COUNTIF)

Creating pivot tables for summarizing data

Exploratory Data Analysis (EDA)

Understanding the goals of EDA

Generating descriptive statistics

Creating histograms and frequency distributions

Box plots and scatter plots for understanding data distribution

Data exploration using pivot tables and slicers

Data Analysis Techniques

Introduction to regression analysis

Performing linear regression in Excel

Hypothesis testing using Excel (t-tests, ANOVA)

Using Excel’s Data Analysis ToolPak for advanced analysis

Trend analysis and forecasting using Excel

Scenario analysis and goal seeking

Data Presentation and Reporting

Designing effective dashboards in Excel

Using slicers and interactive controls

Incorporating charts and tables into dashboards

Creating dynamic reports with PivotCharts and PivotTables

Exporting Excel reports to other formats (PDF, PowerPoint)

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