Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom, Campus Based/Physical Classroom | Video and Text Based | Weekends |
Course Overview
Data science and machine learning are very crucial in the current data-driven world and proved to be key tools in making business decisions and designing business strategies. Thus, there is a huge demand for data scientists with deep knowledge and intensive training. Learn applied data science and machine learning through the IIM Kozhikode Professional Certificate Programme in Applied Data Science and Machine Learning which is offered by TimesPro in collaboration with IIM Kozhikode.
The 12-month professional certificate in applied data science and machine learning will provide the graduates with a thorough understanding of data science and machine learning and enable them to start a career as applied data scientists. IIM Kozhikode Professional Certificate Programme in Applied Data Science and Machine Learning training will enlighten you on important software, visualisation platforms and social media analytics.
The certificate programme on applied data science and machine learning will also provide you with practical training in using tools and techniques of data science in real-life business contexts. IIM Kozhikode Professional Certificate Programme in Applied Data Science and Machine Learning by TimesPro is happening on Sundays from 12:15 p.m. to 03:15 p.m. The classes will be conducted in a blended mode.
The Highlights
- 12 Month Long Course
- Offered by IIM Kozhikode & TimesPro
- Blended Mode
- Sunday Classes
- Professional Certification
Programme Offerings
- Capstone Project
- Real-life Data Exposure
- Simulation-based pedagogy
- 2-day Campus Immersion Module
- IIM Kozhikode Executive Alumni status
- IIM Kozhikode Certification
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIM Kozhikode |
The candidates are required to pay the IIM Kozhikode Professional Certificate Programme In Applied Data Science And Machine Learning fee of Rs. 2,15,000 to complete the program. The fee can be paid in 4 different installments during the program. However, the processing fee will not be refunded if the candidate rejects the admission offers by the institution or the application is rejected submission of incomplete documents and/or providing incomplete information and/or eligibility criteria not being fulfilled.
Course Fee
| Name of the Programme | Fee in INR |
Professional Certificate Programme In Applied Data Science And Machine Learning | Rs. 2,15,000 + GST |
Eligibility Criteria
Academic Qualifications
- Bachelor’s Degree (10+2+3 or 10+2+4)/Diploma (10+2+3) from one of the recognised universities.
Work Experience
- Minimum 3 years of full-time work experience after the qualifying education. However, the training and internships will not be considered full-time experience.
Certification Qualifying Details
- To get certified with the IIM Kozhikode Professional Certificate Programme in Applied Data Science and Machine Learning online course, the learners are required to complete the course procedures including the evaluation, and to get the needed percentage of attendance (75%). The evaluation includes online exams, case analysis, class contribution and individual/group assignments and/or projects. The candidates who met both the evaluation criteria and attendance criteria will be provided with a Certificate of Completion whereas those who could not meet the evaluation criteria and cleared the attendance parameters will be offered a ‘Participation Certificate’.
What you will learn
IIM Kozhikode Professional Certificate Programme in Applied Data Science and Machine Learning syllabus will enable you to:
- To be proficient in the most potent software such as R, Python, NodeXL, Tableau, Power, BGephi, LIWC and the like.
- To get expertise in techniques and tools of data science, visualisation, and machine learning to attain the practical knowledge of applying them in real-world business scenarios.
Who it is for
IIM Kozhikode Professional Certificate Programme in Applied Data Science and Machine Learning Classes can be taken by managers, data scientists, team leads, and senior associates who want to upskill their analytical skills. It also can be pursued by business analysts and data analysts who want to explore the field of data science.
Admission Details
To enrol in the IIM Kozhikode Professional Certificate Programme in Applied Data Science and Machine Learning course, the candidate can follow these steps:
Step 1- Browse the official URL - https://timespro.com/executive-education/iim-kozhikode-professional-certificate-programme-in-applied-data-science-and-machine-learning
Step 2- Click the option ‘Apply Now’ and start the online application by providing the needed information.
Step 3- Make an online payment and submit the online application.
Application Details
The online application for the professional certificate in applied data science and machine learning will ask you to provide basic information about yourself including your name, email id, mobile number, country and state.
The Syllabus
- Understanding Data Science
- Introduction to Data Analytics Using R and Python
- Understanding Data Structures
- Prepare the Data for ML Algorithms
- Basics of Statistics
- Exploratory Data Analysis
- Inferential Statistics
- Hypothesis Testing and Evaluation
- Basics to Advanced Data Visualisation Using R and Tableau
- Storytelling with Data
- Discover and Visualise Data to Gain Insights
- Designing Business Dashboards
- Understanding ML landscape
- Types of ML
- Challenges of ML Implementation
- Hyperparameter Turning in ML
- Implementation of ML Projects
- Prepare the Data for ML Implementation
- Supervised ML Models
- Linear Regression
- Regularised Regression (Ridge, Lasso, and Elastic Net Regression)
- Decision Tree for Regression Problems
- Ensemble Models for Regression Problems
- ML Algorithms for Classification
- Logistic Regression
- Support Vector Machine (SVM)
- KNN Algorithm
- Decision Tree for Classification Problem
- Random Forest for Classification Problem
- Boosting for Classification (ADA boost, Gradient, and XG-Boost
- Clustering Algorithm (Hierarchical and K-means Clustering)
- DBSCAN
- RFM Analysis
- Association Rule Mining and Recommendation System
- Dimensionality Reduction Using PCA
- Artificial Neural Networks
- Deep Learning: Backpropagation
- RNN
- CNN
- Social Network Analysis (SNA)
- Advanced SNA
- Text Analytics
- Introducing NodeXL
- Gephi
- LIWC for Analysing Social Media Data
- Capstone/Final Project