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This video on Data Analytics In Excel Full Course will help you will understand the various crucial functions available in Excel, such as vlookup, hlookup, sumif/s, counif/s, iferror and others. Finally, you will see how to use the Data Analysis Toolpak to perform various data analysis operations. So, let's begin.
Basic of excel
Lookup & functions
Conditional formating
Data validation
Sorting and filtering
Data analysis using toolpak
Dataset Link: https://drive.google.com/drive/folders/1U8CF0Xx3NivXdfrQvXJ_462tEb26oPuX
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What is Microsoft Excel?
Excel is one of the best applications available on the market for creating spreadsheets to crunch numbers and dashboard reports as well as storing and administering data. This software first appeared on the scene back in 1987, and since then it has grown to become one of the most popular pieces of software for home or business. Excel can be used for data entry to store data in the form of a table such as recording your daily expenses or business expenditure. It can also be used for inventory management.
➡️ About Data Analyst Master’s Program
This online data analyst course will transform you into a data analytics expert. In this certification course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.
✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Industry-recognized Data Analyst Master’s certificate from Simplilearn
- Dedicated live sessions by faculty of industry experts
- Masterclasses from IBM experts
- Industry-recognized IBM certifications for IBM courses
- Ask-Me-Anything (AMA) sessions with IBM leadership
- Capstone from 3 domains and 20+ projects
- Exclusive hackathons conducted by IBM
- Lifetime access to self-paced learning content
- Program crafted to initiate your journey as a Data Analyst
✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis using Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using KMeans
- Supervised Learning
- Unsupervised Learning
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