Hatigen’s Machine Learning course will make you an expert in machine learning, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You’ll master machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for the role of a Machine Learning Engineer.

Advance Data Science
- Course Overview
- program highlights
- Pre Requisites
- Projects
- Tools Covered
- Career Centre
- Syllabus
- FAQ
Why Choose Advanced Data Science Program?
Projects
Real world datasets from companies like Nike, Yelp, Amazon, Netflix etc. are provided to our students
Mercedes-Benz Greener Manufacturing time

The dataset contains 386 variables & 4210 observations of mercedes manufacturing data
Wine Quality data analysis

The dataset contains 12 variables and over 1500 observations on wine quality
Detect diabeties in patients

The dataset contains 9 variables and 769 observations on suspected patients
Career Centre
Exclusive Interview Preparation Guides, Career Support, Placement Opportunity and many more...!
Why Choose Advanced Data Science Program?
Pre Requisites
Learners taking the data Sience online/Classroom training course must be from a technical background with an understanding of Linux fundamentals, Python & Statistical Mathematics fundamentals.
Projects
Real world datasets from companies like Nike, Yelp, Amazon, Netflix etc. are provided to our students
Mercedes-Benz Greener Manufacturing time

The dataset contains 386 variables & 4210 observations of mercedes manufacturing data
Wine Quality data analysis

The dataset contains 12 variables and over 1500 observations on wine quality
Detect diabeties in patients

The dataset contains 9 variables and 769 observations on suspected patients
Tools Covered
Career Centre
Exclusive Interview Preparation Guides, Career Support, Placement Opportunity and many more...!
Week 1
Module 1: Data Science Introduction & Use Cases
Module 2: Python Basics: Basic Syntax, Data Structures
Week 2
Module 3: Python Basics: Loops, If-elif statements, Functions, Exception Handling
Module 4: Statistics 1: Measures of central tendency, Population, Sample, Probability Distribution
Week 3
Module 5: Statistics 1: Normal and Binomial Distribution, Random Variable, Pictorial Representations
Module 6: Python Advanced: Numpy, Pandas
Week 4
Module 7: Python Advanced: Data Manipulation, Matplotlib
Module 8: Exploratory Data Analysis: Data Cleaning, Data Wrangling
Week 5
Module 9: Exploratory Data Analysis: Data Visualisation
Module 10: Exploratory Data Analysis: Case Study
Week 6
Module 1: Introduction to Tableau
Module 2: Data visualisation
Week 7
Module 3: Analytics concepts with Statistics - I
Module 4: Analytics concepts with Statistics - II
Week 8
Analytics Concepts using caluclated feilds
Module 6: Analytics concepts for integrating dashboards
Week 9
Module 7: Mini project workshop - Visual Analytics
Module 8: Integration of Tableau with Python
Week 10
Module 1: ML Introduction & Use Cases
Module 2: Statistics 2 - Inferential Statistics
Week 11
Module 3: Linear Regression
Module 4: Logistic Regression
Week 12
Module 5: Decision Trees, Random Forest
Module 6: Modelling Techniques (PCA, Feature Engineering)
Week 13
Module 7: KNN, Naive Bayes
Module 8: Support Vector Machines(SVM)
Week 14
Module 9: Clustering, K-means
Module 10: Time Series Modelling
Where and when do the classes takes place?
All the courses are instructor-led and take place online. The online interface lets you and the faculty have a two-way interaction. It’s as good as sitting in a physical classroom.
All classes take place over the weekends in the mornings. There’ll be one class of 2 to 2.5 hours on Saturdays and Sundays each. This means that you can now acquire in-demand skills without compromising on your schedule.
Can i watch recording of the trail sections before enrolling?
Yes, the recordings of the trial classes are uploaded.
What is the benefit of taking online instructor-led courses?
In physical classrooms, students generally feel hesitant to ask questions. If you miss any class or didn’t understand some concepts, you can’t go through the class again. However, in online courses, it’s possible to do that. We share the recordings of all our classes after each class with the student. Also, there’s no hassle of long distance commuting and disrupting your schedule.
what kind of projects will i be working on?
We believe that unless you implement the concepts studied in the classes, you are unable to join the dots and hence can’t see the entire picture. Our capstone projects let you apply the learned concepts to real-world data sets. You’ll be working on real-time data-sets (which can run in 100s of MBs or possibly in GBs!) which you get to choose from a variety of domains such as retail, finance, social media, healthcare, etc. These datasets have been curated from top sources such as World Bank, US Health Department, Carnegie Mellon, Stanford and many more.
Where & how will i practice?
You’ll get access to our virtual computing lab through the login credentials provided to you. The virtual machines will enable you to work on “Big Data” sets for your projects and practice hands-on too.
Do i get a certificate of completion or certification?
We provide certification of completion to students who attend at least 70% of the classes. After the course ends, we conduct a certification exam that evaluates them on the skills they have learnt. Certification from Hatigen is provided to only those who clear the exam. The exam is purely case-based and not even a single theory question is asked.
Do you provide career assistance?
We provide career workshops and industry immersion sessions to help you become ready for roles you are aspiring for. We also help you in resume review and interview preparation. If you diligently follow our advice, you should start getting interview calls as soon as you finish the course.