Importance of Data: Jeffrey Murray emphasizes the critical role of data in modern life, including in dealerships, mobile ads, investments, and travel recommendations.
Data-Driven Decision Making: Supported by AI and data crunching tools allowing for informed choices.
IT Industry Demand: Professionally skilled in data handling and analysis, particularly using Microsoft Excel.
Course Offering: Simplylearn's Microsoft Excel Course
Course Overview: Comprehensive Excel course covering basics to advanced concepts, Excel VBA, data analysis, visualization, and time series analysis.
Training Projects: Helps build a strong data analysis portfolio.
Interview Preparation: Addresses common data analyst interview questions.
Simplylearn's Post-Graduate Program in Data Analytics
Features:
Exclusive hackathons and aid sessions by IBM.
Eight times higher LIVE edition in live online classes by industry experts.
Capstone projects from three domains and 14+ data analytics projects.
Industry data sets from sources like Google Play Store, Lyft, World Bank.
Masterclasses by Purdue faculty and IBM experts.
Simplylearn's job assist.
Microsoft Excel Overview
Purpose: Designed to store, manipulate, and extract insights from data in organized rows and columns.
User Interface: Includes Microsoft Excel home page, toolbar menu (file, home, insert, layout, formulas, data, review, view, help), and toolbar ribbon.
Demo on Inventory Sheet: Creating employee details table using Excel functions.
Editing and Formatting Cells: Inserting, hiding rows/columns, text alignment, and formatting font.
Basic Formulas and Functions: SUM, AVERAGE, LOWER, UPPER
Advanced Features
Working with Formulas and Data Analysis Tools:
Conditional Formatting: Highlight cells based on conditions or apply icon sets.
Insert and Format Charts: Pie charts, column charts, line charts, bar charts.
Using Pivot Tables and Pivot Charts: Summarize and visualize large data sets.
Advanced Chart Customization: Adding data labels, formatting numbers, and applying styles and colors.
Data Analysis Techniques
VLOOKUP and HLOOKUP: Finding data within tables using lookup functions.
XLOOKUP: Advanced lookup function for dynamic data analysis.
SUMIFS: Calculating conditional sums.
Time Series Analysis: Using ARIMA models for forecasting future data points.
Excel VBA and Macros
Purpose: Automate repetitive tasks and enhance Excel functionality.
Creating Macros: Recording and running macros to perform detailed tasks automatically.
VBA Programming Basics: Writing subroutines and functions to handle complex operations.
Excel for Projects and Business Applications
Project Management: Using Gantt Charts and various Excel templates for planning and tracking projects.
Catching Real-Time Insights: Creating dynamic dashboards using slicers and pivot charts for executive presentations.
Interview Preparation Segment
Common Excel Interview Questions: Tackling questions on basic to advanced Excel functionalities, practical demos, and real-world data analysis scenarios.
Tips for Practical Excel Skills
Shortcuts and Efficiency Tips: Using keyboard shortcuts for common tasks, such as Ctrl+K for hyperlinks, Ctrl+Shift+Space for selecting cells, etc.
Advanced Data Handling: Setting data validation rules, removing duplicates, merging/unmerging cells, and applying filters.
Conclusion
Certification and Career Advancement: Simplylearn programs help gain industry-relevant skills, pursue certifications, and advance professionally in data analytics and Excel.