Business Analytics with Tableau

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:

• R environment
• Scikit- Learn (Python)
• Rapid Miner

• Numpy (Python)
• DataWrangler
• Tableau Public

• Nvivo
• Quirkos
• Datagrav

• Tableau
• SAS
• Oracle

• 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.

You are eligible for a refund of the Booking Amount if you cancel your course within 7 calendar days of the Course Registration Date, which is the date of payment. However, this refund policy does not supersede any course-specific refund terms. Please consult your counselor for more information about the respective course's refund terms.