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Business Analytics with Tableau

Master Business Analytics using Tableau and move your career towards becoming an Expert Business Analytics.

  1. 4.5
  2. (535 ratings)
  • 800+ Students
  • English

Business Analytics with Tableau

  1. $428
    • 1000+ learner
    • 1000+ learner
    • 1000+ learner
    • 1000+ learner
    800+ Learners
Features
  • 5+ Hours on-demand Video
  • Certificate of completion
  • Projects Included
  • Taught by Industry Pros

What you'll learn

Learn the fundamentals of business analytics and data visualization and learn the way of communicating using data. This course covers how to analyze data and apply design principles to make data more receivable to human perception using color theory, and effective storytelling. If you are someone who presents data to others or draw insights from data, then aspire to be a business analyst or data scientist, or if you’d like to become more successful with data visualization, then you can grow your skills by joining this course.

Business Analytics with Tableau Course Syllabus

Best-in-class content by leading faculty and industry leaders with over a decade of working experience in the form of cases, videos and assignments, projects, & live sessions.

best data science courses Noida
6 month practical internship
  • No programming experience required.
  • Interested in using data to make better business decisions.
  • You should take this course if want to learn Tableau completely from scratch
  • You should take this course if you are good with Tableau and want to take your skills to the next level and truly leverage the full potential of Tableau
6 month practical internship

Learn the fundamentals of data visualization and practice communicating with data. This course covers how to apply design principles, human perception, color theory, and effective storytelling with data. If you present data to others, aspire to be a business analyst or data scientist, or if you’d like to become more effective with visualization tools, then you can grow your skills with this course.

Get industry Recognize certificate of completion in Business Analytics with Tableau course form DataTrained education which can we varified online through out the world, shared in certification section on your linked profile, downloaded, priented, shared and mentined on your resume.

Interview pepration DataTrained
Abhay
  1. 4.5

The course is good. It gives a detailed description of sqoop and flume. Every concept is very easy and simple to understand.

Raj
  1. 4.5

Instructor has a good command over the subject. Very nicely explained Excellent content, Every Hadoop developer much visit this course even if you are a experience one.

Instructors

Join DataTrained – IBM- certified curriculum and learn every skill from the industry’s best thought leaders.

Jay Rajasekharan - Data Scientist, IBM

Jay Rajasekharan

Data Scientist, IBM

Currently, he is driving several productivity programs - using data analytics to drive insights from business operations and implementing optimizations such as streamlining workflows, improving service levels, and ultimately reducing cost.

Dr. Deepika Sharma - Training Head, DataTrained

Dr. Deepika Sharma

Training Head, DataTrained

Dr. Deepika Sharma has been associated with academics /corporate education for more than 14 years. She has a deep passion in the field of Artificial Intelligence, Data Science, and Machine Learning.

Shankargouda Tegginmani - Data Scientist, Accenture

Shankargouda Tegginmani

Data Scientist, Accenture

Shankar is a data Scientist with 14 Years of Experience. His current employment is with Accenture and has experience in telecom, healthcare, finance and banking products.

Why Take this Course

  • By the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data.
  • You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making.
100% online

100% online

Global Certification

Global Certification

Flexible deadlines

Flexible deadlines

Frequently Ask Questions

Business analytics is a data management solution and a subset of business intelligence that involves using methodologies like data mining, predictive analytics, and statistical analysis to examine and transform data into useful information, identify and predict trends and outcomes, and help improve data-driven business decisions.

The following are the primary components of a typical business analytics dashboard:

  • Data Aggregation
  • Data Mining
  • Forecasting
  • Risk Analysis
  • Optimization
  • Data Visualization

The essentials of business analytics are typically classified as descriptive analytics, which analyses historical data to identify whether a unit may react to a number of variables; predictive analytics, which examines historical data to determine the likelihood of specific future outcomes; and operational analytics, which examines operational analysis to find how a unit may respond to a set of variables.

Business analytics has many subjects and it's our choice according to our taste and preference which elective or subject is better suited to us. There are a list of subjects of business analytics-

  • Business Intelligence
  • Business Forecasting
  • Social Entrepreneurship
  • Supply Chain Analytics
  • Marketing Analytics
  • Sports Analytics
  • Social Media Analytics
  • Model-Business Decision
  • Infrastructure Development

There are numerous subjects since there are multiple sectors such as finance, marketing, manufacturing, project management, etc. Therefore, business analytics is spread into these fields.

No, Business Analyst is not a hard subject. However, Sometimes we have to write a few lines of code and people find it challenging and difficult. However, coding is not hard. Learning codes is quite easy and fun too. Coding is only hard because there are no structured resources available to learn codes.

It's a technical subject as well as theoretical. A business analyst is responsible for helping management to make better decisions for their business. A business analyst is also involved in the optimization of processes inside an organization. Business analyst sounds fancy and highly technical but in reality, It’s a simple process. For instance, you want to advise your parents about the best investment, you would go on the internet and gather information, and data. From that data, you’ll extract knowledge. With that knowledge, you’ll make a decision on what would be the best investment.

In our course, Business Analytics with Tableau, we covered everything from basic to advanced with theoretical and practical exposure.

Yes, Coding is required in business. Although you don’t have to be an advanced coder to be a business analyst. Now there are tools that help you build models exactly as same as you could do through coding. you don’t even write a single code since there are so many interfaces like google AutoML. Python, which is the most popular programming in the world of data science. Learning the Python language is like learning the English language.

Our program on Business Analytics with Tableau prerequisites are:

  • No programming experience is required.
  • Interested in using data to make better business decisions.
  • You should take this course if want to learn Tableau completely from scratch
  • You should take this course if you are good with Tableau and want to take your skills to the next level and truly leverage the full potential of Tableau

There are 5 steps for business analytics:-

  • Discover business need
  • Collect data
  • Analysis of data
  • Prediction
  • Making a decision

There are 4 types of business analytics:-

  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics

Business analytics tools are applications that extract data from one or more business systems and consolidate it within a repository, like a data warehouse, for review and analysis. Most businesses utilize many analytics tools, such as spreadsheets with statistical capabilities, statistical software packages, complex data mining tools, and predictive modeling software.

These business analytics tools, when used together, provide a comprehensive perspective of the firm, allowing for vital insights and understanding of the organization to be gained, allowing for better decisions to be made about business operations, customer conversions, and more.

Business analytics tools are:

For Data mining
  • R environment
  • Scikit- Learn (Python)
  • Rapid Miner
For Quantitative Analytics
  • Numpy (Python)
  • DataWrangler
  • Tableau Public
For Qualitative Analytics
  • Nvivo
  • Quirkos
  • Datagrav
For Business Intelligence
  • Tableau
  • SAS
  • Oracle
For Predictive Analytics
  • Microsoft R
  • R environment
  • Anaconda

The most popular business analytics tools are

  • Microsoft Excel
  • SAS
  • Microsoft Power BI
  • Tableau
  • MicroStrategy

A business analyst is responsible for analyzing the data then making an inference and extracting knowledge from that raw data into a decision. Another important responsibility of business analysts is making presentations to educate the management about the findings from data.

Not everyone could understand the technical aspects of data analysis and data science that’s why they hire business analysts who can help them to make effective decisions. However, telling the facts and figures in a meeting will overwhelm everyone.

This is solved by a graphical representation of the data. Data visualization is one of the most prevalent ways to display corporate intelligence. Humans are visual animals that are sensitive to patterns and color contrasts. Data visualizations present information in a more accessible and intelligible manner. Dashboards with visualizations may rapidly convey a story and show trends and patterns that might not be obvious when simply analyzing raw data. This availability also allows for more data-related dialogues, which has a larger commercial impact.

To help firms make more data-driven choices, business intelligence (BI) incorporates business analytics, data mining, data visualization, analysis tools, infrastructure, and best practices. In practice, you've got contemporary business intelligence if you have a holistic perspective of your company's data and can utilize it to drive change, eliminate waste, and effectively adapt to market or industry changes.

Tableau is an excellent business intelligence tool.

  • It gives insights into real-time
  • Tableau lets you connect with big data, SQL, spreadsheets, or clouds apps.
  • You can visualize the data using Tableau
  • You can do data analysis

Tableau is not only limited to data visualization rather it gives the power to perform all kinds of data analysis, hence, Tableau is also a powerful Business intelligence tool.