Become a skilled Business Analyst and boost your career options
Classes : 144 Days : 1 year Duration : Weekdays / Weekends
The ultimate training of Business Analytics and Data Science. This training shall introduce you to some of the most widely used business analytics techniques and their core principles. You will get complete in-depth knowledge and skills required by the industry.
During these 1 year, we shall raise your competence and skill to a different level all together.
During this training, students will learn foundational and advanced knowledge of solving real-world business problems.
The accuracy and usability of business analytics is wholly dependent on how granular the analysis has been run and the type of assumptions that are being made. Forward-thinking organizations will utilize business models for a variety of business functions. Some of the most common ways this type of analysis is being used is to detect fraud, optimize marketing campaigns, improve operations, and to manage risk.
Learn what is possible with the state of machine learning in today`s world, its limits, risks, and rewards, and how to apply this knowledge to benefit your organization. This training covers some of the most useful Machine Learning algorithms.
First, you'll understand the data discovery process and discover how to make connections between the various predicting and predicted variables. You will also learn about key data transformation and preparation issues, which form the backdrop to an introduction in Python / R for Business Analytics.
Trainers:
The training shall be executed by multiple trainers, experts in their respective fields.
Experts from the field of Maths, Data Science and Management, each with over 25 years of International experience working in EU/US/Australia
Whom this training is for:
- Engineers and Managers
- Under-Graduate Students
- Post-Graduate Students
- Diploma holders
- Job Seekers
- College Students
- Govt officers and Executives who need Business Analytics upskilling
- Domain experts who want to develop an overall understanding of Business Analytics.
- Managers who need to understand how they can link data to business value through data analytics.
- Anyone who wants to understand the fundamentals of Business Analytics.
- Students who want to add data capabilities to their curricular.
NB: Scholarship available for this training
You will get complete in-depth knowledge of:
- Python
- Python Advanced
- Database concepts with SQL
- Statistics & Probability
- Calculus
- Linear Algebra
- Advanced Excel Techniques for Business Analysis
- Descriptive Analytics
- Predictive Analytics
- Business Analytics
- Cloud Computing using AWS
- DWH
- Big Data Hadoop
- Machine Learning
- NLP
- Data Visualization using Tableau / PowerBI
After completing the course, students would be able to:
-: Use Python and R language for their Predictive Analytics tasks
-: Have an advanced understanding of Machine Learning techniques
-: Use the Enterprise tools for modelling & analytics like SAS
-: Draw inferences from data and computer output and its application for business decision
-: Understand the use of statistics from modelling and analytics perspective
-: Use regression and model fit for better decision making
-: Understand the use of variables and their roles in regression models
Student Reviews
Bhawana
Fabulous NLP + ML course
I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.
Harish
Excellent ML course!
The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.