Business Analytics Overview
​
Business analysts play a vital role in helping companies fix outdated processes and adopt new technology. They conduct research and analysis in order to come up with solutions to business problems and help to introduce these systems to businesses and their clients. They are in high demand in every area of business, from finance to IT to corporate management. Following a business analyst career path is a lucrative and rewarding move.
This course has been specifically designed for those who want to lay the foundation of Business Analytics. Basic Analytics tools like Excel, SQL, Tableau along with Python will be used as a medium to deliver this course.
However, the world of analytics has now become truly tool agnostic. For this reason, Business Analytics course at DataR Labs spends considerable time in building basic concepts in statistics to advanced analytics and predictive modeling techniques. You will learn all the skills required for a promising career as a Business Analyst and solve real-world business problems. This certificate course will help you to develop comprehensive analytics skills pertaining to data visualization, descriptive and predictive analytics for driving smart business decisions.
No prior knowledge of any business intelligence or data analytics tools is required to attend this course. The course is offered in 3 different modes of learning - Classroom learning, Online learning, Remote learning. While flexibility in attending the course varies, learning content remains uniform across the three modes. Learners enjoy the flexibility of taking live or pre-recorded sessions as per their choice.
​
This analytics certification course is for all those who want to settle in the field of data science and begin their career as a business analyst.
Anyone who has passion for Data and loves to solve business problems with data should attend this course. This course will provide you with the tools required to explore the business insights from the data.
​
All the students or working professionals who are aiming to start their careers in the field of Analytics should join this course. Most renowned companies like Google, BCG, Siemens, etc require Business Analyst professionals. Apart from regular job notifications, some key job roles associated with this course are:
-
Business Analyst
-
Data Science Consultant
-
MIS Analyst
-
Visualization analyst
-
Data Analyst
-
Statistical Consultant/ Analyst
-
Business Intelligence (BI) Consultant
-
Analytics Consultant
​
At the successful completion of this course, learner would acquire skills that will help the professional to start working in any of the above or similar job roles. Out of the skills listed by IIBA (professional association dedicated to supporting business analysis professionals), DataR Labs targets to cover key skills around Analytics. Successful completion of the course will ensure following skills in the learner:
-
MIS Reporting
-
Data Mining & Modeling
-
Statistical Analysis
-
Hypothesis Testing
-
Python for Data Analysis
-
Exploratory Data Analysis
-
Data Visualization and Dash-boarding
-
Predictive Analytics
​
Who Should attend this course ?
Curriculum
This course has been developed in consultation with successful Analytics professionals and leading academicians. Curriculum of the course is updated to suit the latest industry trends. While this course was earlier delivered in R, changes have been done to suit the preference of majority companies which prefer candidates trained in Python. All the hands-on projects & case studies are based on real world data. This not only helps the learners to prepare for interviews but also makes the learning process simpler. Entire Data Science world rests on 3 important pillars - Mathematics, Programming and Business Acumen. Course aims at building the foundation for your future journey in the field.
​
This is one of the best Business Analytics certification for candidates who do not have any prior background in analytics but want to jump-start their career in Analytics. Rigorous projects from different domains - BFSI, Healthcare & Pharmaceutical, E-commerce, Human Resources, Retail, etc have been meticulously designed for the course. After completing this course, you will be able to contribute like an experienced team member in driving smart business decision making.
Week
lessons
Python
Looking to be an expert or just starting data analysis, Python is a must. Python is easy to learn and most data science libraries and machine learning framework use Python interface.
Week
1
lessons
SQL
SQL is one of the most requested skills in Data Science. To extract data from a database, SQL is needed.
Week
2
lessons
Excel
With different functions to explore the data for better insights, Excel is a tool for data analytics. This section will help you realize the power of Excel and how it deals with data.
Week
2
lessons
Tableau
Tableau is one of the most popular Data Visualization tools used by Data Science and Business Intelligence professionals today. It enables you to create insightful and impactful visualizations in an interactive and colorful way.
Week
3
lessons
Case Study 1
It is a hands-on project work where learners will test there understanding of concepts learned through Module 1.
Week
3
lessons
Inferential Statistics
Most of the times, businesses take decision for entire population based on a sample data. This section will help learners to understand the concepts behind it.
Week
4
lessons
Hypothesis Testing
Hypothesis testing is an act in statistics where a researcher tests an assumption regarding a population parameter using sample data.
Week
5
lessons
Case Study 2
This section is a hands-on project work where participants have to implement there learning of statistical concepts in Module 2.
Week
5
lessons
Data Preparation
Data preparation is the process of cleaning and transforming raw data prior to modeling and analysis.
Week
6
lessons
Exploratory Data Analysis
Exploratory Data Analysis (EDA) is an approach to extract main characteristics of the data before the modeling task.
Week
7
lessons
Case Study 3
This project work gives a full overview to learners as to how a data can be analyzed using Python. This is a hands-on section where learners will need to submit a working code for grading.