By COEP in association with DImensionless Techademy.
The most exhaustive program designed for students and professionals planning to make a career in Data Analytics, Data Science, Machine Learning, Deep Learning and Artificial Intelligence Space.
The program has been designed to focus on hands-on practical learning and a case study based learning approach is adopted.
At the end of the program, the students successfully completing the coursework and project will receive a PG Diploma in Data Science and Al from COEP.
4 MONTH REAL-TIME INTERNSHIP
- The course will culminate with an opportunity to work on a real time project with our industry partners.
- Any Engineering Graduate/B.Sc/BCA/BCs and Candidate having Mathematics, Statistics and similar degrees can also apply.
- Freshers and Candidates with prior work experience both can apply.
- Those appearing for their final year degree examination may also apply.
- On selection, such candidates will have to fill a Notarized undertaking on Rs. 100/- Non-Judicial stamp paper and submit it to PGDDSAI Admissions Team at the time of payment of Program Fees.
SELECTION CRITERIA FOR THE ADMISSION
- Candidates shall be admitted as per the Selection Procedure Mentioned on the website.
TOTAL NO. OF SEATS
- Total Number of seats for the program is 60.
ABOUT THE COURSE
This course covers different modules to build various skillsets participants need to tackle any type of Analytics problem. The modules coverage ensures that participants learn from fundamental to advanced levels.
- Hands-on Practical Learning
The program has been designed to focus on hands-on practical learning and a case study based learning approach is adopted.
- Designed By Experts
Topics like Business Thinking, Data Management, Programming with tools like Python and R, Statistical and analytical thinking, Predictive Analysis with Machine Learning, Artificial intelligence with Deep Learning are designed along with industry experts.
The course will culminate with an opportunity to work on a real-time project with our industry partners. At the end of the program, the students successfully completing the coursework and project will receive a PG Diploma in Data Science and Al from COEP.
UNIQUE TRIMESTER PATTERN
Concepts of Data Management
Get into the groove of problem-solving with conversion of business problems to data problems by working on real-world cases.
Learn the fundamentals of Data Analytics with a hands-on case study based learning on Statistics, Linear Algebra, and Machine Learning.
Understand how data systems work with knowledge of Database Management and deep dive into Programming with R and Python.
Python is a critical tool for Data Science. In this module participants learn Python programming from basic to advanced level using Jupyter notebooks. Here, participants create, subset and manipulate various data structures. Specific libraries like NumPy, Pandas and Matplotlib that are popular for Data Analysis are covered in depth.
- Essentials of Python Programming
- Basic Data Structures and Functions in Python
- Introduction to
- Numpy Library
- Pandas Library
- Matplotlib and Seaborn Library
- Data Exploration using Statistics
Foundations of Statistics and Business Metrics
In this module, participants will be introduced to Descriptive and Inferential statistics concepts and implementation using real-world data will also be covered. It will end with a case study implementation of EDA.
- Descriptive Statistics
- Inferential Statistics
Data Visualization with Tableau
Tableau is one of the most popular Data Visualization tools used by Data Science and Business Intelligence professionals. In fact, it has been the market leader in reporting tools for almost 10 years (Source: Gartner magic quadrant). Once the predictive analysis of data is done, data scientists generally use Tableau to send out the reports to business which can then take decisions accordingly.
- Intro To Data Visualization and Tableau
- Data Connections – Joins and Vizql
- Building Basic Charts, Chart Types And Mapping
- Aggregation, Parameter
- Statistical Analysis Using Tableau – Regression and Box Plots
- Table Calculation, Calculated Fields
- Integration Of Python with Tableau
Machine Learning Fundamentals
Machine Learning algorithms are the backbone of Predictive Modelling. This is where the Crux of Data Science lies. The end objective of solving a data science problem is finding the patterns in the data and represent that in the form of a Data model. The algorithms taught in our course cover almost all of the problems data scientists solve on a regular basis.
- The Machine Learning Landscape
- Supervised Machine Learning
- UnSupervised Machine Learning
- Essentials of R Programming
- Statistics Implementation in R
- Exploratory Data Analysis
Artificial Intelligence and Deep Learning Fundamentals
This Artificial Intelligence online program is created to help students learn Python Programming and its application to Data Science, Machine Learning, Deep Learning and Text Analytics. This is followed by hands-on experience in solving problems using Deep Learning to get a real-time experience of Data Science projects. Basic knowledge on AI, recent trends in AI with a focus on solution design.
- Deep Learning Fundamentals
- Text Analytics
Time series analysis is the use of statistical methods to analyze time-series data and extract meaningful statistics and characteristics of the data. In this blog, we will begin our journey of learning time series forecasting using python.
Big Data Analytics with Apache Spark
With a shifting focus of industry on analyzing Big Data, this module will prepare the students to do exactly that. The emphasis of the module will be on mastering Spark, which emerged as the most important big data processing framework. Beginning with the fundamentals and going on to building important concepts like Spark ML and Spark Streaming (to analyse streaming data).
- Introduction to Spark
- Spark Basics
- Working with RDDS in Spark
- Spark SQL and Dataframe
- Spark Configuration, Monitoring and Tuning
- Spark Streaming
- Applying Machine learning Algorithms
Machine Learning Advanced
We will cover more complex Machine learning problem-solving. The algorithms taught in our course cover almost all of the problems data scientists solve on a regular basis.
- Linear & Logistic Regression
- Training Models
- Support Vector Machines
- Decision Trees
- Ensemble Learning and Random Forests
- Dimensionality Reduction
- Unsupervised Learning Techniques
- End-to-End Machine Learning Project
Deep Learning Advanced
Deep learning is a branch of Machine Learning algorithms which deals with empowering machine to take decisions like humans using Artificial Neural Network. This in-depth course provides you with all the tools and techniques to get started with deep learning, and how to use neural networks to address some of the common machine learning problems.
- Learn the basics of Artificial Neural Networks with Keras
- Start Training Deep Neural Networks
- Custom Models and Training with TensorFlow
- Deep Computer Vision Using Convolutional Neural Networks
- Model Planning, Data Modelling and Model Evaluation using real time case studies
Natural Language Processing
Understanding the various stages of NLP and how to process the text.
- Text Preprocessing Methods
- Text Mining
- Topic Analysis
- Form Spell Check
- Search Autocomplete
- Search Autocorrect
- Smart Search
- Machine Translation
- Messenger Bots
- Virtual Assistants
- Voice Text Messaging
- Spam Filters
- Customer Service Automation
- Word Embedding
- Topic Modeling Algorithms
- Statistical Modeling Method
- Probabilistic Models
Multiple domains specific projects & discussions.
- Online Classes [Get the services of best trainers from Anywhere]
- LIVE instructor-led training throughout the training duration
- Entirely Hands-On driven session
- Practical Inputs from real-time scenarios
- Problems and Case Study driven training
- Machine Learning algorithms are taught using at least 2 Case Studies for every algorithm
Kushagra, (IIT Delhi – 10+ years experience in Tableau, Analytics & data science), has a keen interest in Problem Solving, Deriving insights & Improving the efficiency of processes with new-age technologies.
He’s good with statistical concepts and possesses thorough business understanding along with practical experience in linear models (like Linear Regression, Logistic Regression, Ridge Regression, Lasso Regression).
Tree-based algorithms (like Decision trees, Bagging, Random Forest, GBM, XGBoost), clustering (like K-Means, Hierarchical), Time-series analysis (like ARMA, ARIMA, stationarity), Deep learning(CN, RNN), NLP Techniques(TFIDF, LDA, Topic Modelling) Extensive knowledge of Tools like R, Python, Spark, Tensorflow, Keras, Tableau. Trained 5000+ participants in R, Machine Learning, Tableau and Python, Big Data Analytics at Dimensionless Conducted workshops and training on Data Analytics for Corporate and Colleges
HIMANSHU (IIT, Bombay – 10+ years experience in Data Science) A machine-learning practitioner, fascinated by the numerous application of Artificial Intelligence in the day to day life.
I enjoy applying my quantitative skills to new large-scale, data-intensive problems.I am an avid learner keen to be the frontrunner in the field of AI. I enjoy learning new technologies at work and strive hard to acquire finesse in skills that I have honed over my career.
Trained 5000+ participants in R, Machine Learning, Tableau and Python, Big Data Analytics and Deep Learning at Dimensionless
Conducted workshops and training on Data Analytics for Corporate and Colleges
He possesses knowledge of a wide variety of machine learning and deep learning algorithms.
When will I receive my Diploma?
You will receive the PG Diploma in Data Science and Artificial Intelligence once you successfully complete the program along with the assessment and industry project.
Why Should I Learn Artificial Intelligence from Dimensionless?
Dimensionless Tech provides best online data science training that provides in-depth course coverage, case study based learning, entirely Hands-on driven sessions with Personalised attention for every participant. We guarantee Learning.
What Are The Various Modes Of Training That you Offer?
We provide only instructor led LIVE online training sessions. We do not provide classroom trainings.
How is your online training better than other online or classroom training?
In physical classrooms, students generally feel hesitant to ask questions. Unlike other online courses, we allow you to speak in the session and clarify your doubts. The interactivity level is similar to classroom training and you get it in the comfort of your home. 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.
Can I ask my doubts during the session?
All participants are encouraged to speak up and ask their doubts. We answer all the doubts with the same sincerity.
Where do I get the Softwares from?
All the software used in this course are Freely downloadable from the Internet. The trainers help you set it up in your systems. We also provide access to our Cloud-based online lab where these are already installed.
What is the hardware requirement for this course?
Any laptop with 2GB RAM and Windows 7 and above is perfectly fine for this course. For large data, the access will be given on the online lab.
What if I miss a session, due to some unavoidable situation?
We understand that while balancing your personal and professional commitments you might miss a session. Hence, all our sessions are recorded and the recordings are shared with you through our Learning Management Portal.
How long will I have access to the Learning Management Portal?
You will have lifetime access to the portal and you can view the Videos, Notes, Books, Assignments as many time
What Kind Of Projects Will I Be Working On As Part Of The Training?
During the training you will be solving multiple case studies from different domains. Once the LIVE training is done, you will start implementing your learnings on Real Time Datasets. You can work on data from various domains like Retail, Manufacturing, Supply Chain, Operations, Telecom, Oil and Gas and many more. You would be working on multiple projects so that you can gain enough content and confidence to enter into the field of Data Science.
Do You Provide Placement Assistance?
Yes, we provide you with real-time industry requirements on a daily basis through our connection in the industry. These requirements generally come through referral channels, hence the probability to get through increases manifold.
The HR from the team helps you with Resume Building and Interview Preparation as well.
Business Analyst, Chennai Branch, Fortune India 500 Company
I joined this training curriculum to have a transition in my career. What they say is exactly what they do. Highly knowledgeable and supporting faculties. The HR support informs us about the job openings from time to time. Apart from teaching they conduct webinars from experienced data scientists.
Senior Consultant, Hirepro Consulting Pvt. Ltd.
Dimensionless – Knowledge Encyclopedia
Dimensionless has helped me to lay a strong and deep pillar for my Data Science Career, their teaching methodology on their online platform is very effective, interactive & flexible. It is a privilege to learn the concepts from industry experts. Kudos to all teaching and non-teaching staff for the great ongoing learning experience across Python, ML, R & Tableau.
Associate VP, Corporate & Investment Banking, JP Morgan Chase
It’s an almost impossible task to take everyone along when the class mix is so diverse. But the trainers would spend the first 5-10 minutes of each session on clearing ANY doubts or any questions, anyone would have. The trainers were also judicious to push some questions towards the end of the session when more time would be needed to address a certain query.
Sr. Software Engineer, United Health Group
I joined a data science course in October ’18. Here the instructors teach so patiently and start all topics from the basics. The topics covered are purely fit for the industry. I got a good understanding of all topics after going through this course and I am now well fit for attending any interviews.
Thanks, Dimensionless for this course with this price.