Sep

03

2021

Learn Pivot Table from basics

supnatural 3 Sep 2021 18:25 LEARNING » e-learning - Tutorial

Learn Pivot Table from basics
Learn Pivot Table from basics
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 37 lectures (1h 30m) | Size: 981.8 MB

Become Expert Data Analyst
What you'll learn:
Data analysis using Pivot Table
Pivot Charts
Excel Skills for Business
Microsoft Excel for Business Data Analysis

Requirements
Interest to learn MS-Excel, Data Analytics, Business Data Analysis
Microsoft Excel

Description
Present day organizations are flooded with data. They source data from multiple facets. All these data are churned as a part of business intelligence or data analytics to derive meaningful information. The information is used to make successful business decisions.

In this context, there is a great opportunity waiting for data analysts or data scientists. Organizations are in continuous search to identify and hire data analysts who can churn legions of data in few minutes or hours. Ask Google or Job portals, you will find plethora of openings. Join this course and get one.

The course Data Analytics using PivotTable is designed to make you grab Data Analyst / Data Scientist - The Sexiest job of 21st century.

PivotTable reports are widely used to sort, summarize, group, filter, and analyze data at various level. This course contains 30+ video classes that explain you the nuances PivotTable reports from basics to advanced level. All these video classes are prepared using real time business data.

To augment your learning, related excel workbooks are included.

Why wait, join the course, hone your analytical skills, grab a job / upgrade to next position in your organization.

During your online learning process, if you come across with any questions, suggestions, feedback or review, please do contact the course Instructor.

Who this course is for
Beginner with interest in data analysis
Professionals working on large databases
HR executives
Marketing Research Team Members
Financial Analysts
Students

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