Overview
By the end of this course, you should become very comfortable with popular concepts of statistics, You should know the genesis of popular statistical concepts, You should know how you apply it in business problem, You should have the required course material for referral
MBA Students, Statistics professionals, Statistics students, Analytics professionals, Data analytics folks, IT folks, Reporting Engineers who want to build their career into analytics or statistical analysis / market research
Familiarity with Microsoft Excel basics, Students should be able to check formula used in excel after downloading
Most of the students of MBA (Master of business administration program) / machine learning program / computer science program hate the introductory statistics / business statistics course. The reason is that most of the instructor explain the concept in such a way that students are hardly able to relate to concept with real life situation. Hence the course becomes a nightmare for students and they look forward for just completion of semester to get rid of the same.
That's why this course has been prepared through simulation and real life examples.
This course covers the entire syllabus of most of the business statistics / introductory statistics course of MBA (Master of Business administration) program. The explanations are so simple and intuitive that you will learn statistics for life and will love the subject.
I recommend you to explore the course.
What is the course about?
This course promises that students will
Learn the statistics in a simple and interesting way
Know the business scenarios, where it is applied
See the demonstration of important concepts (simulations) in MS Excel
Practice it in MS Excel to cement the learning
Get confidence to answer questions on statistics
Be ready to do more advance course like logistic regression etc.
Course Material
The course comprises of primarily video lectures.
All Excel file used in the course are available for download.
The complete content of the course is available to download in PDF format.
How long the course should take?
It should take approximately 25 hours for good grasp on the subject.
Why take the course
To understand statistics with ease
Get crystal clear understanding of applicability
Understand the subject with the context
See the simulation before learning the theory
Gopal Prasad Malakar
I am a seasoned analytics professional and the CEO of ProData Science AI Consultancy Pvt Ltd, with over 24 years of professional experience. I specialize in impactful and actionable analytics, data science, decision strategy, and enterprise-wide data strategy.
ProData Science offers outstanding solutions for building machine learning models. These solutions make the model-building process enjoyable, accurate, and efficient.
Additionally, I am a dedicated trainer who believes that effective training ensures users understand the concepts thoroughly. If students remain confused after the training, it is ineffective. I ensure that my students or participants are crystal clear on how to apply their learning in real business scenarios.
My expertise includes:
-- Credit card business
-- Scoring ( Machine learning / econometrics-based model development)
-- Score management
-- Loss forecasting / Time series forecasting
-- Business intelligence solutions such as Tableau, SAS Visual Analytics, Microsoft Power BI etc.
-- Enterprise-wide big data framework and streaming analysis
Please refer to my course for
- Data analysis and Data science using SAS / R / Python
- SAS / R / Python program details (syntax and options)
- SAS / R / Python output deep dive
- Practical usage in Industrial situation