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Advanced Certification Course in Data Science and Artificial Intelligence

  • Get Trained from Top Industry Experts
  • Classroom and Online Live Class
  • Realtime Live Projects
  • Get Certified from Texas Tech University
  • 100% Placement Guarantee* With Conditional Offer Letter released during Enrollment
  • 909
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No Programming Knowledge Required

Program Overview

Welcome to our Advanced Certification Course in Data Science and Artificial Intelligence

In this Data Science course and Artificial Intelligence, you will gain the knowledge and skills to become a proficient Data Scientist. Through a combination of theoretical concepts, practical exercises, and real-world examples, you will learn the following key topics: Data Exploration and Visualization, Statistical Analysis, Machine Learning Algorithms, Deep Learning Techniques, Natural Language Processing (NLP), Big Data Analytics, Cloud Computing for Data Science. Immerse yourself in real-world Data Science projects to apply your knowledge and sharpen your skills. Gain valuable experience and showcase your expertise. This Data Science course is suitable for individuals interested in pursuing a career in the field of Data Science. It is designed to benefit: Aspiring Data Scientists, IT Professionals seeking to transition into Data Science roles, Students looking to specialize in Data Science, Business professionals aiming to harness the power of data for informed decision-making.

Program features


630 hrs of Live Training over 9 Months


Realtime Live Projects


100% Placement Guarantee* With Conditional Offer Letter released during Enrollment


Dedicated Placement Training


1:1 Mentorship


Affordable Course Fee


Lifetime Learning Management System Access


24/7 Support



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Here's what you can expect to learn in this course:

    • Descriptive statistics
    • Probability and Normal Distribution
    • Statistical Inference
    • Data Cleaning and Insights

    • Basic Fundamentals of Excel
    • Logical and Advanced Functions
    • Visualization
    • Data Summerization and Connecting to Data
    • VBA and Macros

    • Basic Fundamentals of Structured Query Language (From Installation to Tables, Joins and Variables)
    • Advanced SQL (Database, Functions)
    • Optimization and Performance (Grouping, Searching, sorting and expressions)
    • Introduction to NoSQL

    • Introduction to Python (Installation to IDEs)
    • Basics (Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, file handling, exception handling, etc.)
    • Data Manipulation using Pandas
    • Data Handling with NumPy
    • Visualization using Matplotlib

    • Introduction to Data Visualization using Tableau
    • Connecting to Various Data Source and Preparing Data
    • Working with Metadata
    • Tableau Filters
    • Data Structuring
    • Creating Charts and Graphs
    • Calculations
    • Visual Analytics
    • Dashboard

    • Introduction to Data Visualization using Power BI
    • Power BI basics
    • DAX
    • Data Visualization with Analytics
    • Dashboard

    • Introduction to Google BigQuery and GCP
    • Architecture of BigQuery
    • Exploring SQL Workspace of BigQuery

    • Business Domain Selection (based upon interest)
    • Understanding the business problems and formulating hypotheses
    • Exploratory Data Analysis to Gather insights
    • Data Storytelling: Narrate stories in a memorable way

    • Introduction to Machine Learning
    • Regression
    • Classification
    • Clustering
    • Supervised Learning
    • Unsupervised Learning
    • Performance Metrics
    • Introduction to MLOps Lifecycle – Pipeline - Process
    • Azure Machine Learning and Deploying Machine Learning Models using Azure

    • Introduction to AI
    • How to create basic AI application (Chat bot using DialogFlow)

    • Introduction to Computer Vision| How to install computer vision libraries
    • Moving Object Detection and tracking using OpenCV
    • Face Detection and Tracking using OpenCV
    • Object Tracking based on color using OpenCV
    • Face Recognition using OpenCV
    • Face Emotion recognition using 68-Landmark Predictor OpenCV

    • Introduction to Deep learning | How to install DL libraries
    • Designing your First Neural Network
    • Object recognition from Pre-trained model
    • Image classification using Convolutional Neural Network
    • Hand gesture recognition using Deep Learning
    • Leaf disease detection using Deep Learning
    • Character recognition using Convolutional Neural Network
    • Label reading using Optical Character recognition
    • Smart Attendance system using Deep Learning
    • Vehicle detection using Deep Learning
    • License plate recognition using Deep Learning
    • Drowsiness detection using Deep Learning
    • Road sign recognition using Deep Learning

    • Introduction to NLP & it’s Terminology | How to install NLP Libraries NLTK
    • Title Formation from the paragraph design using NLP
    • Speech emotion analysis using NLP

    • Cloud-based AI, Object recognition using Amazon Web Service (AWS) & Imagga
    • Deploying AI application in Raspberry Pi with Neural Compute stick & Nvidia Jetson Nano

    • 2 Realtime Live Projects from Analytics Space

    • Interview Preparation Session
    • Resume Building Session
    • Linkedin Profile Optimisation
    • 3 Mock Interviews

Upon completion of this data science course, one will possess the skills and knowledge to extract valuable insights from complex datasets using statistical analysis and machine learning techniques, enabling them to make informed decisions and drive data-driven solutions in various domains. They will also be proficient in data visualization and storytelling, effectively communicating their findings to both technical and non-technical stakeholders.

Tools Covered

Who can apply for this course?

  • Individual with any graduation
  • Interested in Data Science and Analytics
  • IT professionals looking for a career transition
  • Professionals from looking for career in Data Science
  • Freshers from any stream who aspire to build their career in Data Science field
  • Those seeking to build expertise in data science



Program Fee


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Learner Reviews

Frequently Asked Questions –

Data Science is a field that involves extracting knowledge and insights from data using scientific methods, algorithms, and statistical techniques. It encompasses data collection, analysis, interpretation, and modeling to solve complex problems and make informed decisions.

Business acumen, Problem-solving skills, Strong analytical skills and Communication skills

6 Months (4 Months Training and 2 Months Project)

Data analytics and data science are related but distinct fields. Data analytics focuses on analysing data to draw insights and inform decision-making, while data science involves a broader range of activities, including data collection, data cleaning and pre-processing, statistical analysis, machine learning, and developing predictive models.

Real-world applications of Data Science include personalized recommendations in e-commerce, fraud detection in finance, healthcare analytics for patient diagnosis and treatment, demand forecasting in supply chain management, and sentiment analysis in social media.

Data Scientist, Data Analyst, Business Analyst, Business Intelligence Analyst, Data Consultant, Data Engineer and many more.

No, Because we will start teaching you from the basics.

A Data Science job guarantee course is a program that guarantees job placement in the field of Data Science upon completion of the course.

A Data Science job guarantee course with EXcellenC typically involves an intensive training program in Data Science with a focus on practical skills and hands-on experience. EXcellenC also offers Placement training such as soft skills, communication, body language, resume building, interview preparation, and forward resume with partnered organisations for interview.

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