Excel Business Analytst DAE - Digital · PDF fileAnalytic Techniques using Excel & Power BI...
Transcript of Excel Business Analytst DAE - Digital · PDF fileAnalytic Techniques using Excel & Power BI...
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!
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)