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Visualization Course
Learn from IIMC,ISI Alumini And Industry Experts.
Learn from IIMC,ISI Alumini Industry Experts with hands-on exercises & Project work. trained on Python-R-SAS-SPSS-DataIKU-Tabluea -Qlik sence tools
- What is data
- Types of Data(Structured, Unstructured, Semi Structured)
- Visualization basics
- Different visualization tools
- Popularity of the tools
- Connecting to Static files, MySQL
- Live Vs Extract,
- Data source window, Navigating to work sheet,
- Data pane,
- Analytics pane,
- Dimensions,
- Measures,
- Auto generated fields,
- Data visualization window explaination,
- Data source window operations
- Hierarchy(In built hierarchy, Manual)
- Grouping
- Sets
- Parameter with filters and Parameter with Sets
- Usage of measure names and Measure Values
- Dual axis
- Blended axis
- Dimension filters
- Measure filters(Record level filters, summary level filters)
- Date filters
- Cascading Filters
- Context filters
- Data source filters
- Extract filters
- Quick table calculations
- Introduction to calculated fields
- string calculated fields
- Number calculated fields
- date calculated fields
- logical calculated fields
- ZN Function
- Mixing up of all calculated fields
- Conditional Formatting in Tableau
- Data blending
- Data joins
- Unions
- Relationships
- Basic Charts and use cases
- Introduction to Show me
- Development of In built charts part1
- Development of inbuilt charts part2
- Customized graphs(Donut, Waterfall, Bump, Barometer, Butterfly, Gauge meter, Basic Funnel, Advanced Funnel, Word cloud, Gantt Bar)
- Animated Chart
- Arbitary formatting, Explanation of Marks Card, Reference lines Reference Bands
- Reference Distribution
- Forecasting
- Introduction to Dashboard
- Story board interfaces
- LOD’s( Fixed, Include, Exclude)
- Creating of a Basic Dashboard with both Tiled, Floating layouts Explanation of objects in the Dashboard interface
- Action filters on Dashboards
- Advanced level dashboard(Drill down dashboards)
- Designing of Basic Story board
- Publishing Dashboards on Tableau public server
- Exposure to the websites which consists of real time data
- Interview cracking resources
- introduction to Tableau certification
LEARN CONTENTS
Modules overview
REACHOUT ANALYTICS offers an ideal and holistic programme to equip business executives and software professionals with the theory and skills required to excel in today’s increasingly dynamic and data-driven business ecosystem.
- What is data
- Types of Data(Structured, Unstructured, Semi Structured)
- Visualization basics
- Different visualization tools
- Popularity of the tools
- Connecting to Static files, MySQL
- Live Vs Extract,
- Data source window, Navigating to work sheet,
- Data pane,
- Analytics pane,
- Dimensions,
- Measures,
- Auto generated fields,
- Data visualization window explaination,
- Data source window operations
- Hierarchy(In built hierarchy, Manual)
- Grouping
- Sets
- Parameter with filters and Parameter with Sets
- Usage of measure names and Measure Values
- Dual axis
- Blended axis
- Dimension filters
- Measure filters(Record level filters, summary level filters)
- Date filters
- Cascading Filters
- Context filters
- Data source filters
- Extract filters
- Quick table calculations
- Introduction to calculated fields
- string calculated fields
- Number calculated fields
- date calculated fields
- logical calculated fields
- ZN Function
- Mixing up of all calculated fields
- Conditional Formatting in Tableau
- Data blending
- Data joins
- Unions
- Relationships
- Basic Charts and use cases
- Introduction to Show me
- Development of In built charts part1
- Development of inbuilt charts part2
- Customized graphs(Donut, Waterfall, Bump, Barometer, Butterfly, Gauge meter, Basic Funnel, Advanced Funnel, Word cloud, Gantt Bar)
- Animated Chart
- Arbitary formatting, Explanation of Marks Card, Reference lines Reference Bands
- Reference Distribution
- Forecasting
- Introduction to Dashboard
- Story board interfaces
- LOD’s( Fixed, Include, Exclude)
- Creating of a Basic Dashboard with both Tiled, Floating layouts Explanation of objects in the Dashboard interface
- Action filters on Dashboards
- Advanced level dashboard(Drill down dashboards)
- Designing of Basic Story board
- Publishing Dashboards on Tableau public server
- Exposure to the websites which consists of real time data
- Interview cracking resources
- introduction to Tableau certification
Course Fee
Classroom
- Live Classes from IIT Faculty
- Dedicated Learning Manager
- Job Assistance
- Job Assistance
- Job Assistance
SAT - SUN
08:00 PM TO 11:00 PM
IST (GMT +5:30)
MON - TUES
08:00 PM TO 11:00 PM
IST (GMT +5:30)
WED - FRI
08:00 PM TO 11:00 PM
IST (GMT +5:30)
₹99,999
OVERVIEW
Start your Data Science Learning in Reachout Analytics
REACHOUT ANALYTICS is a top-ranked celebrated provider of stimulating and results-oriented high-quality data analytics solutions and data science education.
Key Highlights
50+ Live sessions across seven months
218 Hrs Self-paced Videos
200 Hrs Project & Exercises
Learn from IIT Hyd Faculty & Industry Practitioners
1:1 with Industry Mentors & 24*7 Support
Resume Preparation and LinkedIn Profile Review
Campus Immersion at IIT Hyd
No Cost EMI Option
Your Data Science Summed Up
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Study model
REACHOUT ANALYTICS has a massive intellectual capital led by a team of competent expert professionals who blend theory and practice, leveraging their rich hands-on field experience in data science-related projects; thus, the quality and proficiency are combined and embedded in every project and training programme handled.
Study duration & extension
REACHOUT ANALYTICS leverages the unparalleled resources accumulated over time and guarantees clients and learners a wholesome experience of quality, intensity, relevance and challenge. We are bold, innovative and transformative. Our commitment and expertise place us in a select group of institutions in the country
Accreditation
REACHOUT ANALYTICS ranks number ONE in imparting training in the country.
100% International
Data science is relatively new and the most in-demand discipline in the business ecosystem.
9999+ students
Data science is a multidisciplinary field that deals with collecting, processing and analysing both structured and unstructured digital data to uncover trends and patterns and obtain insights to derive inferences for making informed decisions.
96% Recommendation rate
Data science applications have diverse uses and purposes, such as predicting and preventing future problems, identifying trends and potential gaps to unleash creative solutions for greater customer satisfaction, detecting fraud, and gathering customer feedback to design new products and services, among many others.
Mentors
Who can apply for the Data Scientist course?
- Information Architects and Statisticians
- Information Architects and Statisticians
- Information Architects and Statisticians
- Information Architects and Statisticians
What roles does a Data Scientist play?
Data Scientist
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Analytics and Insights Analyst
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AI & ML Engineer
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Data Engineer & Data Analyst
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Junior Data Scientist
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Applied Scientist
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Data Science Projects
Practice Essential Tool
Designed By Industry Experts
Get Real-world Experience
Peer Learning
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Career Services
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Data Science Certification
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Course Reviews
Data Science Training FAQs
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Lorem ipsum dolor sit amet, consectetur adipisicing elit. Optio, neque qui velit. Magni dolorum quidem ipsam eligendi, totam, facilis laudantium cum accusamus ullam voluptatibus commodi numquam, error, est. Ea, consequatur.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Optio, neque qui velit. Magni dolorum quidem ipsam eligendi, totam, facilis laudantium cum accusamus ullam voluptatibus commodi numquam, error, est. Ea, consequatur.