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Skill Diploma in Data Analytics with
Tableau and PowerBI

Become a full-fledged data scientist with a variety of skills by enrolling in our skill diploma in data analytics
with Tableau and PowerBi course. It combines 3 domains to become a unique course that
will help you upskill and add immense value to your resume.

What is Data Analytics ?

  • Data is a set of values of qualitative or quantitative variables. It is information in the raw or unorganized form.
  • Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
  • A profession in Data Analytics is fulfilling and offers ample scope for learning and growth.

What is Data Visualization

  • Data visualization is a graphical representation of information and data.
  • By using visual elements like charts, graphs, and maps data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.

Tools In Data Analytics Course

SQL course syllabus –

  • Data Types
  • Data Definition
  • Querying data
  • Modifying Data
  • Constraints
  • Views

Tableau course syllabus –

  • Getting Started
  • Adding Data Sources
  • Creating Data Visualizations
  • Aggregate functions and calculated fields
  • Trends, Forecasts, and Clusters
  • Interactive Dashboards

PowerBI course syllabus –

  • Getting Started
  • Architecture and Administration
  • Importing Data Options
  • Data Transformation Strategies
  • Building the Data Model
  • Leveraging DAX
  • Visualizing Data

Data Analytics Job Profiles

Business Analyst

Data Analyst

Quantitative Analyst

Tableau Developer

PowerBI Developer

TABLEAU Curriculum

Why use Tableau?
Menu bar
Data source
File
Data
Window

To a file
Microsoft excels
Text files etc.
To a server
Microsoft SQL server
My sql
Oracle etc.

File
Data
Window
Connections
Data base
Sheets

Data
Worksheet
Dash broad
Story
Analysis
Map
Format
Window

New
Open
Close
Save
Save as etc

New data source
Paste
Refresh all exacts
Dimensions
Measures
Show me

New work sheet
Copy
Export
Clear
Actions
Tool tip
Show title
Show caption
Show summary
Show cards
Show views
Show tool bar
Describe sheet etc.

New dash broad
Device layout
Show grid
Grid options
Format
Copy image
Export image
Clear
Show title
Actions

  Introduction to RL
  Introduction to Open AI Gym
  Deep Q Networks
  Deep Deterministic Policy Gradient

New
Show mark tables
Aggregate measures
Stack marks
Explain data
Reveal hidden data
Percentage of
Totals
Forecast
Trend lines
Special values
Table layout
Legends
Filters
Highlighters
Parameters
Create calculated field
Edit calculate field
Cycle fields
Swap row and column

Background maps
Background images
Geo coding

Dash board
Story
Work book
Fonts
Alignment
Shading
Borders
Lines
Animations
Reference lines
Droplines
Annotation
Title and caption
Field labels
Legends
Filters
Highlighters
Parameter
Cell size
Work book theme
Copy formatting
Paste formatting
Clear work sheet formatting

Presentation mode
Show tool bar
Show status bar
Book marks

Background maps
Background images
Geo coding

Key Highlights

  • Online/Offline Mode of learning
  • Weekday/Weekend Classes
  • Extensive Coverage
  • Hands-On Programming in Class
  • Regular Assignments and Tests.
  • Capstone Projects on different domains
  • Job Readiness
  • Mock Interviews

ELIGIBILITY

Anyone with a desire to learn

COURSE DURATION

60 hours of hands-on classes

ACADEMIC PARTNER

Jain University

Scope of Data Analytics

  • The scope of data analytics In India includes companies in policing, banking, healthcare, fraud detection, e-commerce, energy, telecommunications, and risk management.
  • JPMorgan, Accenture, Microsoft, Adobe, Flipkart, AIG, Ernst & Young, Wipro, Vodafone & Deloitte are the organizations that had the greatest number of openings for data analysts last year.
  • The average salary for a data analyst in India is Rs 10 lakhs per annum. 
  • Today, data analytics has become a big career option in India. 

OUR CERTIFICATES

·   This course is designed for candidates who are already into data science but need to refresh or extend their knowledge. A workshop on python libraries NumPy, Pandas and Seaborn can be availed additional if you lack knowledge of these libraries. If you are fresh to Python, Master’s in Data Science course is advised.

Data Science is a versatile field that has found applications in every industry, including healthcare, banking, e-commerce, business, and consultancy services.While Data analyst,Data scientist, and data engineer broadly describe the different roles data experts can play at a company.

The most important trait among data scientists aren’t technical degrees, or the amount of time spent in school. It’s the curiosity that pulls them to hard problems and pulls out solutions and new insights from old datasets. You can get into data science from a non-technical background and do the same thing.

Of course! While studying a course with Learn Digital Academy, you’re assigned a dedicated Program Mentor who not only supports you academically, but also guides you on the most suitable career path. Throughout the course, your Program Mentor will encourage you to finish projects, engage in classes and get the most out of this Course

A degree holder from science/commerce background who is willing to upgrade and shape up their career in the field of Data Science can take up the course.

In Simple words Data Science is all about getting meaningful information from large amount of complex data. it is basically an extension of various data analysis fields such as data mining, predictive analysis and many more.

Of course! While studying a course with Learn Digital Academy, you’re assigned a dedicated Program Mentor who not only supports you academically, but also guides you on the most suitable career path. Throughout the course, your Program Mentor will encourage you to finish projects, engage in classes and get the most out of this Course

Data science can add value to any business who can use their data well. From statistics and insights across workflows and hiring new candidates, to helping senior staff make better-informed decisions,data science is valuable to any company in any industry.

Classes will be both Online /Offline, Weekday/Weekends as per your Convenience and Comfort.

Always there will be a backup class for every class.

Yes, we Provide TOP Interview Questions and Answers which are frequently asked in interviews, Latest tips and tricks to clear your technical rounds.

Candidate must have at least 80% attendance for each module and should have knowledge of all the modules that has been taught.

HOW TO GET STARTED

Learn Digital Academy
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