PG Diploma in Data Science and Artificial Intelligence

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

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

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
• Dashboarding
• Integration Of Python with Tableau

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

Learn

• Essentials of R Programming
• Statistics Implementation in R
• Exploratory Data Analysis

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
• Projects

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. 

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
• Kafka
• Spark Streaming
• Applying Machine learning Algorithms

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
• Regularization
• 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 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

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
• Tokenization
• Stemming
• Lemmatization
• Word Embedding
• Topic Modeling Algorithms
• Statistical Modeling Method
• Probabilistic Models

Multiple domains specific projects & discussions.

• 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.

• 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.

• We provide only instructor led LIVE online training sessions. We do not provide classroom trainings.

• 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.

• All participants are encouraged to speak up and ask their doubts. We answer all the doubts with the same sincerity.

• 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.

• 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. 

• 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.

• You will have lifetime access to the portal and you can view the Videos, Notes, Books, Assignments as many time

• 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.

• 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.