About the Course

There are four functional roles in Data Science, namely, Business Analyst, Data Analyst, Machine Learning Engineer and Data Engineer. The BIID track targets the Business Analyst role. This course is the continuation of your BIID learning journey to master the skills needed to become an efficient Business Analyst and Information Designer. This is an intermediate level course and it builds upon your knowledge that you gained in part 1 : Business Intelligence and Information Design : Introduction : BIID101.

The role of a Business Analyst is to process and analyze business data and present it using concise and effective data visualizations to decision-makers so they can make meaningful business decisions.

Designing effective data visualizations is an art form. They can capture the viewer’s emotions and attention and direct them to hidden patterns which are difficult or impossible to visualize just by looking at raw data. You don’t need to be an artist to create these amazing Data Visualizations. All you need is some creativity and skill imparted by this course!

Prerequisites

• Curiosity
• Basic arithmetic skills - Brackets, division, multiplication, addition, subtraction
• Ability to operate a computer, keyboard and mouse
• Ability to use a web browser to access and use the internet
• Ability to install software on your computer
• Business Intelligence and Information Design : Introduction : BIID101

Hardware and Software Requirements

• Windows 10 or greater, MacOS 10 or greater, Or Linux host with Windows inside virtualization, operational computer
• 16 GB RAM
• Broadband internet connection > 5 MBPS
• 100 GB free hard disk space. SSD Drive Recommended

Learning Objective

Intermediate KNIME Analytics

• Importing Workbooks
• Data Exploration
• Data Modelling
• Data Preparation for Reporting
• Reporting

Intermediate Tableau

• Data Validation
• Statistical Tests
• Time Series
• Maps Scatterplots
• Dashboards
• Blending
• Calculated Field Across Blend
• Data Preprocessing
• Grouping
• Reading data from PDFs and Spatial Data

Intermediate SQL

• Joins
• Inner Join
• Duplicate Rows
• Left Join
• Right Join
• Join Where
• Cross Join
• Aggregate Join
• Join More Than Two Tables
• Union And Union All

Learning Outcome

• Perform exploratory data analysis using industry leading analytics package
• Perform intermediate level data modelling using visual node based workflow
• Prepare interactive reports and dashboards
• Check if your data is valid for analysis
• Perform simple statistical tests on your data
• Effectively plot time series data
• Effectively plot Geo-spacial(Maps) data
• Blend data from multiple sources
• Perform joins in SQL to retrieve the data you need from multiple tables

Fineprint

• The topics presented are tentative and we reserve the right to add or remove a topic to update or improve the bootcamp, or for a technical or time reasons.
• † taxes extra.