Data Science with Python, Machine Learning, SQL and Power BI
Course Length: 8 to 10 Weeks
Audience: Students with or without IT experience or knowledge
Student Location: To students from around the world
Delivery Method: Instructor-Led – Live Training Classroom and/or Online
Data Science Training Online
Data Science is the fastest-growing niche around the world. Yes M Systems has brought a detailed Python-based Data Science course with emphasis on Machine Learning, Power BI, and SQL. The course lets students analyze increasingly large data sets and visualize them for valuable inference.
Key Features
Introduction – SQL
- Introduction – SQL
Module 1 : Basic Statistics for Data science
- Basic business statistics, Variable types, Central tendency, Standard deviation and Variance
- Probability Theory – Basics and Baye’s theorem
- Data Distributions and 5 -Hypothesis Testing
- Case studies on Hypothesis Testing
- Assignment Case study : probabilities and Hypothesis testing
- Discussion on the Assignment and Query session
Module 2 : Data Visualization – Power BI ( there are more detailed topics which I will share during the course)
- Introduction to Power BI , interface and products
- Data Types and basic Visuals
- Data cleaning with Power BI
- Custom Visuals, custom dimensions and measures, slicers and indexing records
- DAX queries
- Complete dashboard and online publishing
- On premises gate way, row level filtering
Module 3: Introduction to Python Programming for Data Science
- Data Munging Basics
- Data visualization
- Basic Maths with Python
- Outlier Detection
Module 4 : Introduction to Machine Learning:
- Supervised learning and Unsupervised learning Introduction
- Introduction to regression – simple linear regression
- Multiple linear regression
- Logistic regression
- Random Forest
- Support Vector Machine
- XG Boost
- Cluster Analysis with Python – K means
- DB scan clustering
- Market basket Analysis
- Page Rank Algorithm
- AHP
Module 5 : Optimization
- Introduction to linear programming
- Problems with Linear Programming
FAQ'S
Do I get any discount on the course?
Yes, you get two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.
Who will provide the environment to execute the Practicals ?
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course.
What is the qualification of the trainer?
The trainer is a certified consultant and has significant amount of experience in working with the technology.
Does MyyesM accept the course fees in installments?
Yes, we accept payments in two installments.
How does MyyesM Refund Policy work?
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within first 2 sessions of the training. Please make a note that refunds will be processed within 30 days of prior request.
Course Testimonials
I have no idea where to start. Because of Yes M Systems, I'm earning a decent amount of salary. The expertise in Data Science I acquired from them has made my life. Thank you to all the encouraging instructors.
Sharmistha
In the majority of online course-providing platforms, you are always left out on one topic or the other. With Yes-M Systems, you never experience the same. They cover every little aspect of the topic so elaborately and they make complex areas super easy.
Amrita
I guess I made the right choice by going with Yes M Systems Data Science Course with a special focus on Machine Learning, SQL and PowerBI. The course teaches basic as well as advanced topics clearly.
Manasvi R
Disclaimer: Yes-M Systems and/or their instructors reserve the right to make any changes to the syllabus as deemed necessary to best fulfill the course objectives. Students registered for this course will be made aware of any changes in a timely fashion using reasonable means.
