Artificial Intelligence Specialization Program

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

• 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

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

In this module, participants will learn the foundations of Deep Learning and understand how to build neural networks. The implementation of the same will be done using Python, TensorFlow and Keras.

• Deep Learning Fundamentals
• Working with Keras
• Training Deep Neural Networks
• Deep Computer Vision Using
• Convolutional Neural Networks
• Pretrained Models for Transfer
• Learning
• Classification and Localization
• Object Detection

Natural Language Basics

• Introduction to Natural Language processing
• Processing and Understanding Text
• Text Classification
• Text Similarity and Clustering
• Semantic and Sentiment Analysis

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

R is one of the most commom languages used in Data Science.
Learn

• Fundamentals of R Programming – Working with RStudio
• Data structures & data types in R
• Functions
• Control Structures
• Data handling in R – Importing and Exporting Data
• Cleaning and Manipulating Data

• Work on multiple Case Studies of Machine Learning and Deep Learning.

Choose from a set of projects and work on at least a couple of projects under the guidance of the mentors to create a portfolio for business. Projects include problems that would be solved using Traditional Machine Learning models and Deep Learning algorithms.

Downloads

• Capstone Projects
• Case Studies

• Yes, the participant should have a working knowledge of Python for Data Science and must have worked on Machine Learning Algorithms.

• 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.

• Yes, we will be issuing a course completion certification to all individuals who successfully complete the training.