BUSINESS ANALYTICS WITH PYTHON

Become an agent of change with our application-based Business Analytics courses. A Business Analytics course can help you broaden your scope and also give you an added bonus of accelerating your career growth.

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1000+

Over Registered Learners

INR 8 LPA

Highest Salary Offered

INR 6 LPA

Average Salary

50+

Hiring Partners

20+

Industry Experts

Mode:

Blended

COURSE DURATION

45 HRS Live Training + 15 HRS Soft Skills Training

START DATE

TBA

EMI

6 & 12 Months *0% Interest

CERTIFICATIONS

Microsoft Technical Associate

Advantages

Top-Rated Instructors

Project Based Learning

Self-Assessment Quizzes

Case
Studies

Microsoft Certification

Guaranteed Internship

Industry Based Projects

Placement Assistance

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Why choose Business Analytics?

Business analysis impacts the functioning of the whole organization, it helps organizations make sound commercial decisions. Python in business analytics is a growing field. It requires handling a lot of data and analysis to draw impactful conclusions and while old-time tools like excel and PowerPoint help with recording and visualization, adding Python to your skillset will accelerate and improve your work process, taking it to the next level. It also comes with the added advantage of wider career opportunities and a bigger pay cheque.

Tools Covered

Certificate

Cognitio will issue you an industry-recognized course achievement certification with lifelong legality after you complete the Python Business Analytics course. In the form of assessments given by the instructor, candidates will be able to demonstrate the theories learned in class, enabling them to develop the required skills and experience. Only after a thorough review process will enrolled students receive a certification of course completion.

Microsoft Certification

Guaranteed Internship

Placement Assistance

Course Overview

Being able to learn is more critical than ever in our rapidly changing society. Set yourself up for success by being an active and independent learner.

Skills Acquired:

  • Understanding the Python installation and it’s libraries.
  • Python basic concepts
  • 80% Hands-on Training
  • 20% Theory

Assessment:

  • MCQs to evaluate student’s performance
  • Assignment
  • Microsoft Technical Associate MTA 98-381

Foundational concepts in Statistics required for  Analytics

Learning to build Machine-Learning algorithms for business problem solving.

Skills Acquired:

  • Database requirements and it’s fundamentals
  • Deep dive into SQL concepts, also covering the Microsoft Technical Associate MTA 98-364 syllabus.

Assessment:

  • MCQs to evaluate student’s performance
  • Assignment
  • Microsoft Technical Associate MTA 98-364

Powerful BI tools to make your project a reality!

Skills Acquired:

  • Story telling
  • Developing meaningful dashboards from raw data
  • Interactive user interface development

Industry trending Case Studies

Skills Acquired:

  • Introduction to Soft-Skills
  • Communication skills
  • Resume building
  • Digital Profile creation
  • Planning and Time Management
  • Interview Preparation
  • Communication with Consumer

 

Assessment:

  • MCQs to evaluate student’s performance

Foreword by Industry Expert

Most Business Analysts begin with Excel, as it is best when doing small and one-time analyses or creating basic visualizations quickly. It helps one become an intermediate user relatively without too much experience as it is easy to work with GUI. With Power BI, it adds more power to the users with intelligence capability, allowing them to import data from different sources and export it as required. Power BI gives a more freedom for customization, allows creating interactive geo-map visualization with its inclusive self-service visuals answering most of the business questions easily. However, Python though a bit difficult to learn because of set up required for development environment on the computer, and the many packages involved to make it run, it provides better help when working with big data, especially when required to create repeatable, automatable analyses, and in-depth visualizations. Practically speaking, there’s no single tool that one could pick, as they have their own pros and cons, but based on speed, volume and complexity, all these could be prudently used to gather dexterity in Business Analytics.

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