Analytic Techniques using

Excel & Power BI

[Since 2009]

In exclusive association with

26,500+ Participants | 10,000+ Brands | 1900+ Trainings | 55+ Countries

Training Partner for

Salient Features

People from all functional areas such as HR, Marketing, Sales, Supply Chain, Customer Satisfaction, Logistics, Accounting & Finance, Operations, Trading, Administration, Purchase & Production,

Manufacturing, Research & Development

Course Highlights

Govt. of India(Vskills Certified Course)

3 Hrs/Week Live Instructor-Led Online Sessions

Lifetime Access toUpdated Content and

Videos

Industry andAcademia Faculty

2 Weeks of Project Work

Active Q/A Forum

Placement Support

Class Labs/Home Assignment (10 hours/Week Learning Time)

Industry’s TopExcel & Power Bi

Advisors

Top Excel & Power BiTools Covered

Industry Relevant Curriculum Hands-on Approach Money Back GuaranteeCareer Mentoring

This Course is for

Individual Attention to Each Learner

Internal Competitions with Prizes

Course Advisors and Instructors

Shweta GuptaVice President, Tech.

Shweta GuptaVice President, Tech.

Manas Garg heads the Analytics for Marketing at Paypal. He takes Data Driven Decisions for Marketing Success.

Vishal is a Technology Influencer and CEO of Right Relevance. (A platform used by millions for content & influencer discovery).

Manas GargArchitect

Vishal MishraCEO & Co-Founder

Course Advisors

Course Instructors

Shweta Gupta has 19+ years of Technology Leadership experience. She holds a patent and number of publica-tions in ACM, IEEE and IBM journals like Redbook and developerWorks.

Rushabh Shah is the Founder & CEO of DLTC.co and Blogger at ExcelRush.com. His strengths are data & business analysis. To share his knowledge and experience of working with vari-ous businesses areas, he has trained 1300+ working profes-sionals and students in Excel Advanced & others.

Rushabh ShahFounder & CEO

Rohit Kumar is a Big Data Researcher with publications in many prestigious international conferences. He has 6 plus years experience in industry and expertise in various pro-gramming languages including Java, Scala, C++, Python, and Haskel. He works in variety of different database systems such as MySQL, Microsoft SQL, and Oracle Coher-ence and in many Big Data systems like Hadoop, Apache Spark, Apache Storm, Kafka, MongoDB.

Shweta GuptaVice President, Tech.Pritesh SrivastavaData Analyst (Contractor)

Shweta GuptaVice President, Tech.

Dilnoor SinghConsulting CTO, Venera.io

Dilnoor Singh is SAS Base and SAS Advanced Certified Professional

having a total of 6 years of IT industry experience. The first 3 years were

with pharmaceutical and Insurance Consulting firms and in the later 3,

he has built 2 startups in web and mobile domains.As an Analyst in the

pharmaceutical industry, he designed SAS Solutions for Measuring the

Comparative effectiveness of drugs in US population and Creating

pricing models for drug launches in the European Markets. Post that in

the auto insurance industry his work involved creating SAS Predictive

models on insuree’s risk factors and telematics data.

Course Curriculum

Introduction to Analytics Techniques

Overview of the Analytics TechniquesAnalyticsBusiness Analytics

Fundamentals of Excel

Useful FunctionsCounting functionsSumming functionsAveraging functionsRounding functionsSumproduct (New)

IntroductionGUICell ReferencingFreeze PanesSum Function

DuplicatesRemove Duplicates

Sorting & Filtering

Multi-level SortCustom Filter

Data Cleaning and Working with Conditions using Excel

Working with Conditions

Conditional FormattingCustom Conditional Formatting with Formulas (New)

"Logical OperationsIF, AND, OR, Nested IF"

Working with Text

ConcatenateLeft, Right, Upper, Lower

Datebase Functions

DSUM, DCOUNT, DAVERAGE, DMAX, DMIN

This Excel and Power BI course is thoughtfully designed for people with different functions that own data like Sales, Marketing, Customer Acquisition, Customer Satisfaction, Operations, Supply-Chain, Logistics, Finance, Trading; and would like to leverage their data for action driven insights. The 2017 European Data Science Salary Survey, puts Excel just under 70% as the most used tool by analysts, and this will possiblyspan in most markets. The curriculum allows learners to enhance their analytical skills and make atransition into the analytics industry with high-in-demand skillsets of Advanced Excel, Business Intelligenceor Visualization tools PowerBI and SQL. It is designed in a way that in a few weeks the program, learners be prepared to devise solutions for real time problems in the industry.

Business IntelligenceIndustry Examples

Function on FilterSubtotal function (New)

Entering Data Correctly

Data Validation

How to Use in-built options (New)Custom Data Validations with Formulas (New)

SplittingCreating Dates

Date Functions

Fetching & Comparing Data Sets

$ ReferencingVlookup & Hlookup

Named RangesName Box (New)

Advanced Lookup Functions Match & Index (New)

Indirect (New)Offset (New)

Choose (New)Mode (New)

Large, Small (New)

Dependant DropdownsDependant Data Validation Lists (New)

Data Manipulation using Advanced Excel

What-if-Analysis

Goal SeekData TableScenario Manager

Pivot TablesDimensions & MeasuresMulti-layer Pivot TableSummarize Values by Show Values asGrouping

Introduction to Array FunctionsBasics (New)3 uses (New)

Solver Plug-in

Solver Plug-in

Charts

Various ChartsPivot Charts

Combo ChartsSparklines

Data Analysis & Visualization using Advanced Excel

Excel Tables

Capabilities & Why to use (New)

Protection

Password Protection

Sheet level (New)

Grouping & Subtotal

Grouping (New)Subtotal feature (New)

Array Functions

How to debug

Precedents, Dependents (New)Watch Window (New)

Debugging Formulas

Introduction to VBA Macros

What are macros (New)How to write a basic VBA code (New)Recording Macros (New)Editing recorded macros (New)Finding VBA codes on the internet (New)

Introduction to Statistics - The Essential topics to get you started with Statistics

Samples and PopulationProbabilityRandom VariablesDataset Distributions (New)

Descriptive Statistics - Describing Datasets using measures of central tendency and variability MeanMedianModeStandard DeviationVariance

Inferential Statistics - Inferring the relations and patterns in datasets CorrelationAnalysis of VarianceAnalysis of CoVariance.

Applied Statistics - Some popular applications

Trendline Analysis (New)Factor AnalysisPrincipal Component AnalysisAssets Portfolio Analysis (New)

Statistics & Application in Excel

Introduction to MS SQL

SQL Queries & Views

Core Database Concepts

Relational Database ConceptsData TypesTables

QueriesSelect, Insert, Update, Delete

Views

Creating & Updating

Power BI - Building Dashboards, Manipulating Data using DAX, Importing Data from Multiple Sources

DAX Functions

Introduction to DAXData TypesCalculated Columns & MeasuresDAX FunctionsRelating Excel Functions with DAX FunctionsVariablesTables ReferencingFiltering

VisualizationsCreate Simple VisualizationsCombination ChartsSlicersMap VisualizationsTables & MatrixScatter ChartsWaterfall & Funnel ChartsGauges & Single NumberCardsStyling the VisualizationsCategories with no Data

Introduction to Power BI ServiceSign up for Power BI ServiceParts of the Power BI ServiceDatasetsReportsDashboards

PublishingPublish from Power BI Desktop to Service

Power BI and ExcelImport an Excel Table in Power BI Service Directly

Dashboards

Import from data other Services

Pinning the Required Reports from across ReportsAsk Questions on your Data

Focus ModeEdit Tile Details

Power BI Mobile

Installing the AppViewing Dashboards

Viewing ReportsSharing

DashboardDashboard using Pivot Tables, Slicers, Timeline

Importing Data

From ExcelFrom Access, Folder, other sources

ModelingRelationships

Calculated Columns & MeasuresCalculated TablesTime-based Data

Excel TablesWhy use TablesReferencing SyntaxFormulasNamed Ranges

Clean & Transform DataQuery Editor

Advanced MethodsPivoted data / Unpivoted Data

Power BI - Introduction

Calculated Columns & MeasuresCalculated ColumnsMeasures

Power BI ComponentsOld v/s New Technologies

Power BI DesktopPower BI ServicePower BI Mobile

MailchimpGoogle Analytics

QuickBooks

Our Course Participants Work at

The Placement Process

Capstone Project

Tools Covered

(2 Weeks)The Capstone project is the culminating assignment that will allow you to have an integrated experience of the program. The approach to this project is to think, define, design, and work your way to your solution, in such a way that you apply several aspects of your learning.

"As a Data Scientist, this Capstone project will help you understand how to analyse credit card customers’ data in terms of Risk assessment. You will be able to identify what kind of customers are risky, what kind are not, which one’s should be blacklisted, etc

Placement ServicesWe partner with 10+ organizations who directly source their Data Analytics manpower needs from us. From resume creation to helping you crack the final interview, our dedicated placement team is always on toes to connect talent with the right opportunity.

The Candidates resume is refined and polished as per Market Standards to help them be searchable.

The Candidates are prepared for an initial quiz and a coding test.

Finally, the candidates are prepared for the final round of interview.

The Resume is shared with relevant organisations

by our placement team.

1:Risk Assessment of Credit Card Customers

As a Data Scientist, this Capstone project will help you analyze IPL data of several years. You will be able to identify each player has been performing as a Batsman, Bowler, Fielder and also how each Team has been performing.Your skills of Excel & Power BI will be put to test with the kind of analysis that you have to solve.

2:IPL Data Analysis

Placement Support

Rakesh GhumatkarBusiness PartnerDigital Vidya

Rakesh has 17+ years of National & International experience in IT Marketing & Recruitment. He has identified Data Science, AI, and ML as a next growth area and is actively working on helping organisations hire Data Scientists. He currently serves as the HR-Business Partner at Digital Vidya leading the hiring of our successful participants.

Note: It is mandatory to complete one project for your Course Completion and Certification. We encourage our students to leverage all opportunities to sharpen their problem-solving skills as a Data Analyst.

Duration Fee Batch Options

Rs. 24,900+GST Weekend15 Weeks

+91-84680-02880

www.digitalvidya.com

Interested? Contact Us!

info@digitalvidya.com

Attend a Free Orientation Session: http://www.digitalvidya.com/data-analytics-course

-Ajay Ohri Data Scientist,

“ ”Yes, I like the huge investment Digital Vidya is doing to create the next generation of talent. Initial feedback suggests Digital Vidya produces high-quality Data Analysts.

Industry Experts Speak

-Madhu Vadlamani Lead Analytics,

“ ”I can see a good course structure and well-designed syllabus for those who are passionate enough to enter into the analytics world. The platform helps people grow professionally and in very less time.

rthis Speak

What Makes us Proud?

-Vani Ananthamurthy(Business Operations Senior Analyst, Accenture)

“ ”I was looking for customized content and I found the same in Digital Vidya. Content is structured and well planned. Classes were very interactive and trainer’s presentation skills were very good. People who are new to the subject can also understand clearly. Thank you so much!

-Nanddeep Nasnodkar (Sr. Software Developer - Remote Software Solutions)

“ ”This course gets you started from very basics, makes you think and solve the assignments, and suddenly you find yourself doing Data Analytics all by yourself!

- Naresh Mehta AVP – Data Science & Analytics ,

“ ”Good to see Digital Vidya becoming increasingly more involved in covering data science vertical, look forward to collaborate with DV to help shape this industry.

We offer one complimentary course with all other coursesCourse: Tableau (Visualization and Storyboarding Tool)