Masterclass on Data Analysis

Introduction

Analyzing data empowers you to make better decisions. Data analysis is the term given to the process of evaluating data and translating it into information. It consists of data mining, statistical analysis, business analytics, descriptive and predictive analysis, and big data analytics.

It involves several stages including determining a data set, organizing data for handling, applying evaluation models, deriving key findings and generating reports from the processed data.

The main objective of data analysis is to discover understandings that can be used in more effective decision making.

What will you learn from this particular Data Analysis training program? In this course, you will learn how to perform data analysis using Microsoft Excel’s most popular features.

Microsoft Excel is one of the most widely used tools for data analysis and its in-built pivot tables are possibly the most common analytics tool used by a range of professionals from beginners to those with advanced levels of experience. You will be taught how to create pivot tables from a collection with rows and columns in Excel.

You will find out the power of Excel pivots and their power to condense data in flexible ways, enabling rapid evaluation of data and creating useful insights from the collected data. Pivot tables and charts are used in many diverse industries by the masses who want to generate various types of reports relevant to the performance of their organizations.

They do so because, in Excel, formulas can be used easily to accumulate data and create meaningful information. In addition to pivot tables, pivot charts and slicers can also be used to visualize data and create user-friendly dashboards that depict data as readable information.

This Greenville training course will empower you with the ability to apply your new data analysis skills to business analytics, big data analytics, bioinformatics, and statistics.

 

Course Objectives

Upon completing this Data Analysis Training course successfully, participants will be able to:

Learn about data model creation

Explore, analyze, and visualize data

Sift data using slicers in multiple pivot tables

Produce aggregate reports using formula-based techniques

Collect and transform data from multiple sources

Understand and combine data in mashups

Generate flexible data aggregations using pivot tables

Exemplify data visually using pivot charts

Evaluate margins and other popular ratios using calculation on the pivot table

 

Training Methodology

This is an interactive Data Analysis Training and will consist of the following training approaches:

Lectures

Seminars & Presentations

Group Discussions

Assignments

Case Studies & Functional Exercises

Similar to all our courses, this program also follows the ‘Do-Review-Learn-Apply’ model.

 

Organizational Benefits

Companies who send in their employees to participate in this Data Analysis course can benefit in the following ways:

Give your employees the ability to manage large data volumes using the latest tools

Provide your workforce with flexible and cost-effective professional development opportunities

Analyze case studies in this domain and be able to apply successful techniques in your organization

Comprehend the principles and practice of Big Data and the context in which this operates

 

Personal Benefits

Professionals who participate in this Data Analysis Training Certification course can benefit in the following ways:

Progress in your career in the Big Data domain

Benefit from a structured training with the latest curriculum as per current industry requirements and best practices

 

Who Should Attend?

This Data Analysis Training Certification course would be suitable for:

IT Professionals

Testing professionals

Programming Developers and System Administrators

Business Intelligence, Data Warehousing and Analytics Professionals

Data Engineers

Data Analysts & Business Intelligence Professionals

Database Administrators and other DB professionals

Anyone who works with Excel regularly

Individuals who want to learn data exploration and analysis

Anyone looking to pursue a career in data analysis or business intelligence

Participants looking for a comprehensive, engaging, and highly interactive approach to training

 

Course Outline

MODULE 1: DATA ANALYSIS WITH EXCEL

What is Data Analysis?

Excel Pro Tips for Power Users

Advanced Excel Formulas & Functions

Structuring Source Data for Analysis in Excel

Excel tables

Advantage of Excel tables over regular ranges

Filter, sort and see totals

Use tables to add columns to the existing data in the Excel table

Raw data structure in Excel

Design & formatting options

Sorting, filtering, & grouping tools

Calculated fields, items & values

Interactive Excel dashboards

 

MODULE 2: PIVOT TABLES

Why Pivot Tables?

Create pivot tables

Data Analysis with Excel PivotTables

Use pivot tables and pivot charts to create dashboards

Connect multiple slicers to the pivot tables

Configuring pivot table layouts & styles

Pivot Table layouts & styles

Pivot Charts, slicers & timelines

 

MODULE 3: USING PIVOT TABLES FOR ADVANCED CALCULATIONS

The full power of pivot tables

Filter pivot table data to achieve interesting subsets of the data

Apply calculated fields with pivot tables

Calculate profitability and find anomalies

 

MODULE 4: AGGREGATE DATA

Use formulas to aggregate data

Aggregate data as an alternative to pivot tables

Flexible reporting layouts

Pivot charts using more than one table

 

MODULE 5: LAB ENVIRONMENT & INSTALLATIONS

Set the lab environment up with Office applications

Data analysis in Excel using tools:

pivot tables

pivot charts and slicers

Excel data models

Power Pivot add-in

DAX expressions for calculated columns and measures

 

MODULE 6: QUERIES

What are the queries?

Power Query for Excel 2010 and 2013

Excel data model built from a single flat table

Import multiple tables from a SQL database

Create an Excel data model using imported data

Create a collated result with data from text-files and data from a SQL database

Up & running with Power BI Desktop

Publishing to Power BI Service

SQL database analysis for beginners

 

MODULE 7: DATA FILTERS & MEASURES

How to establish measures to calculate each cell

Filter context for calculation

DAX functions

Enhanced queries to import data from a formatted Excel sheet

Queries beyond the standard user interface

 

MODULE 8: DATA VISUALISATIONS

Data visualizations in Excel

Cube functions for year-over-year comparisons

Create timelines, hierarchies, and slicers

Excel working together with Power BI

Excel workbooks with Power BI service

Excel on the mobile platform

 

MODULE 9: CASE STUDIES

Facebook Post data from Spartan Race

IMDb movie ratings

Apple Store mobile app ratings

Shark attack records till date

 

What We Offer

• Over 10 years of Experience
• Over 2000 Workforce Trained
• Over 400 Trainings Events Delivered
• Over 100 Satisfied Clients
• Over 200 Training Courses
• Over 100 Customized Modules
• More than 10 Certified Trainers & Coaches
• 96% Satisfaction Rating
• Partners Home & Abroad
• Premium Training Delivery. World class Professional Facilitators.

• Sumptuous Meals and refreshments, Premium training manuals customized for you
• Free Professional E-Books and Learning Materials for the participants