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
Today's world is surrounded by data always under operation by numerous Organisations. Critically analysed and well-understood data plays a pivotal role in determining the role and success of multiple businesses and organisations. Data Science, along with its inherent techniques and tools, has moulded and added value to multiple business standards through the use of statistics and deep learning to induce people through relevant, better, and timely decisions.
The main objective of the PG Certificate Programme In Machine Learning And Big Data Analytics course is to educate participants the techniques of Machine learning along with the complexities of Data Science. The course programme deals with data and its dynamics and imparts critical skills in an organisational context.
The PG Certificate Programme In Machine Learning And Big Data Analytics course exposes participants to hands-on experience of the marketable and most wanted tools in ML and BDA areas. The course also focuses on the practical aspects and aims to impart problem-solving skills to participants to enhance career and employment growth.
The Highlights
- Postgraduate Level programme
- 12 months course
- Eminent Faculty of IIIT Allahabad
- Certificate of Completion from CSTCP-IIITA
- Case study based learning
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIIT Allahabad |
The fee payment details for the PG Certificate Programme In Machine Learning And Big Data Analytics course is different for Indian and oversea Nationalities. For Indian participants, the payable fee amount is Rs. Two Lakh while for international participants, it is USD: 4000.
The PG Certificate Programme In Machine Learning And Big Data Analytics course fee is payable in four instalments as follows:
First Instalment | Second Instalment |
Rs. 25,000 + GST* USD500 | Rs. 1,75,000 + GST* USD 3500 |
Late Fee Procedure:
The PG Certificate Programme In Machine Learning And Big Data Analytics course fee is payable in four instalments as per the schedule provided above. In case of late payment, a late fee is leviable to participants as follows:
Rs. 1000 + tax if the Instalment is not cleared within seven days from the due date mentioned in the Instalment schedule.
Rs. 2500 + tax if the Instalment is not cleared within eight to fourteen days from the due date mentioned in the Instalment schedule.
If the Instalment fee is not cleared within fourteen days from the due date, then the participant shall be considered as a dropout.
Participants willing to rejoin and complete the course programme must pay a rejoining fee of Rs.5000 + tax.
Eligibility Criteria
Education Criteria
- The eligibility requirement for an Indian Nationality participant is graduation in Bachelor's or Diploma ( 10+2+3 level of education) from a recognised university.
- The eligibility criteria for International nationality participants is graduation or equivalent degree from any recognised Institution in their respective country.
Work Experience
- Working Professionals with a minimum of four years of experience are considered but not limited.
Certification Qualifying Details
- To acquire the PG Certificate Programme In Machine Learning And Big Data Analytics course participation certificate, participants must fulfil the requisite attendance criteria of 70 per cent attendance and pass the evaluation tests. Participants must also clear all due fees.
What you will learn
The PG Certificate Programme In Machine Learning And Big Data Analytics course offers twelve months of convenient classes with flexible timings. The programme course is a sophisticated mix of interactive discussions, LIVE virtual lectures, case studies, experiences through peer discussions.
The course offers interactive learning via the internet. However, the online certification for Machine learning and Big data analytics classes are live classes for periodic evaluations and do not conduct any recorded or pre-recorded sessions.
The certification programme facilitates learning through the association of the various concepts relating to management and its application in the business world. The PG Certificate Programme In Machine Learning And Big Data Analytics course offers in-class learning to live situations at work, and peer learning, therefore, would be a vital pillar of the process.
Participants are given the flexibility to reach out to the course professors, real-time during the class or even access offline through the SLIQ Cloud Campus to raise any queries or questions and clear doubts.
The course programme commences from October 4, 2020, for three hours each Sunday from 10.00 am to 1.15 pm. IST.
Who it is for
The PG Certificate Programme In Machine Learning And Big Data Analytics course is offered for IT Professionals from various domains such as Software Engineers, Database Architect, and Developers aspiring to gain expertise in the field of Machine learning and Data Science.
This course is aimed at Business and Data Analysts who are responsible for churning and inferring from large Databases and handling Big Data Projects.
The PG Certificate Programme In Machine Learning And Big Data Analytics course focuses on Technology Enthusiasts and professionals seeking to achieve deep understandings of ML Algorithm.
The course programme also focuses on Executives and Working Professionals looking to commence their career in Machine Learning.
Admission Details
The PG Certificate Programme In Machine Learning And Big Data Analytics course admission occurs based on eligibility criteria and fee payment.
- Eligibility Criteria: Participants must abide by the PG Certificate Programme In Machine Learning And Big Data Analytics course eligibility requirements
- Fee Payment: Participants must complete the fee payment process to move onto the Admission process.
Application Details
- The Application Form is available on the website.
- The Payment for PG Certificate Programme In Machine Learning And Big Data Analytics Application form can be either online or offline.
- In case the Application payment is made through online, participants can proceed through Credit or Debit card.
- In case the payment is made through the offline Instalments mode, participants must proceed through Pay Orders or Demand Drafts. The payable amount must be addressed to "Arrina Education Services Private Limited" payable at Mumbai.
- Participants must send a downloaded copy of the Application Form along with the DD or PO addressing Student Relations Manager, TALENTEDGE, 21, Institutional Area, Sector 32, Gurgaon 122001, Haryana, INDIA.
- Participants must ensure that personal details are written at the back of the addressed Demand Draft/Pay Order.
The Syllabus
Structured LIVE lectures
The primary mode of dissemination for the PG Certificate Programme In Machine Learning And Big Data Analytics course is LIVE lectures. The certification also conducts pre-assessments before the commencement of specific course modules. This pre-assessment ascertain participant's readiness to proceed further with the classes.
The fundamental analysis of the pre-assessment is that an individual participant may be required to undertake some refresher or self-study on some essential regions to help better cope and comprehend the programme contents.
Modules
The PG Certificate Programme In Machine Learning And Big Data Analytics course syllabus offers nine modules that offer participants a brief about Machine learning, Big Data and its derivatives.
- Introduction to Python
- Basics of Python
- Python data structures
- Python programming
- Use of standard libraries
- Reading JSON, CSV, HTML, and XML files using Python
- NumPy and Pandas
- Scipy Libraries
- Loading, Cleaning, Transforming, Merging, and Reshaping Data
- Relational Databases and Data Manipulation with SQL
Probability & Statistics
- Descriptive Statistics & Data Distributions
- Probability Concepts and Set Theory
- Probability Mass Functions
- Probability Distribution Functions
- Cumulative Distribution Functions
- Modeling Distributions
- Inferential Statistics
- Estimation
- Hypothesis Testing
- Implementation of Statistical Concepts in Python
Linear Algebra
- Vectors
- Eigen Vectors & Eigen Values
- Matrix Manipulation
- Rank
Building Models Using Below Algorithms
- Linear and Logistics Regression
- Support Vector Machines (SVMs)
- Random Forests
- XGBoost
- Decision Tree, Random Forest, K-Nearest Neighbors
- Partition Based & Hierarchical Clustering
- Principal Component Analysis
- Text Analytics
- Interactive Visualizations with Matplotlib
- Dashboard Development
- Exploratory Visualization
- Basics of Neural Network
- Linear Algebra
- Implementation of Neural Network in Vanilla
- Basics of TensorFlow
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Generative Models
- Semi-supervised Learning using GAN
- Seq-to-seq Model
- Encoder and Decoder
- Revision of Data Mining algorithms
- Introduction to Big Data analytics & Spark
- RDD’s in Spark, Data Frames & Spark SQL
- Spark Streaming, MLib & GraphX
- Time Series Forecasting
- Predictive analytics
Evaluation process
The PG Certificate Programme In Machine Learning And Big Data Analytics holds no examinations.
Instructors
IIIT Allahabad Frequently Asked Questions (FAQ's)
Yes; The course programme also conducts six days of on-campus immersion modules at IIITA, Prayagraj that offers two sessions of three days each.
Yes; however, you must have completed a Diploma with the 10+2+3 level of education from a recognised university.
Yes; The PG Certificate Programme In Machine Learning And Big Data Analytics course fee is payable at four Instalments.
Yes, the PG Certificate Programme In Machine Learning And Big Data Analytics courses for professionals; however, professionals must hold a minimum of four years of work experience.
The primary mode of dissemination for this certification course is LIVE lectures. The certification also conducts pre-assessments before the commencement of specific course modules. This pre-assessment ascertain participant's readiness to proceed further with the classes.