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ELEVATE YOUR BUSINESS WITH

Limitless customization options & Elementor compatibility let anyone create a beautiful website with Valiance.

Advanced Certification Course in Data Analytics with AI

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

Program Overview

Welcome to our Advanced Certification Course in Data Analytics with AI!

Today’s world, organisations generate a vast amount of data on a daily basis. However, without the proper tools and techniques to analyse and interpret this data, it becomes just a pile of meaningless information. This is where data analytics comes in - it helps organisations make sense of their data and gain valuable insights to improve their business.

Our Data Analytics course with AI is designed to provide you with a comprehensive understanding of the fundamentals of data Analytics and AI. You will learn how to collect, clean, organize and analyse data using various statistical, computational and AI techniques

Program features

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350 hrs of Live Training over 6 months

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Domain based Real-time live Projects

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

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Dedicated placement Training

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1:1 Mentorship

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Affordable Course Fee

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Lifetime Learning Mangement System Access

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24/7 Support

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Global Certifications

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

    Introduction to Data Analytics and it’s applications

    • 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
    • Advanced SQL
    • Optimization and Performance
    • Introduction to NoSQL

    • Introduction to Python
    • 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 AI
    • Pytorch
    • Tensor Operations
    • Vectors
    • Scalers
    • Neural Network

    • Clustering
    • Bayes Classification
    • Decision Tree
    • Rapid Minor
    • R Programming

    • Introduction to Prompt Engineering 
    • Large Language Models
    • Prompt Pattern

    • 2 Realtime Live Projects from Analytics Space

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

At the end of this course, you will have a solid understanding of data analytics and be equipped with the skills and knowledge to apply these techniques in your own organisation. Whether you are a business professional or data enthusiast, this course is perfect for anyone looking to gain a deeper understanding of data analytics. Enroll in our Data Analytics course today and take the first step towards unlocking the power of data!

Tools Covered

Who can apply for this course?

  • Individual with any graduation
  • Interested in Data Analytics and Business Analytics
  • IT professionals looking for a career transition
  • Professionals from non IT looking for career change
  • Freshers from any stream who aspire to build their career Data Analytics field
  • Management professionals
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Certificates

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Program Fee

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Our Learners Works at

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Learner Reviews

Frequently Asked Questions –

Data analytics is the process of examining data sets to draw conclusions and insights from the information they contain. It involves the use of various tools, techniques, and algorithms to identify patterns, trends, and relationships  in data.

 Analytic Mindset, Critical thinking and Effective communication skills

Total 7 Months. 4 Months Training, 2 Months Projects and 1 Month with Placement Training.

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.

Data analytics has a wide range of real-world applications, including fraud detection, customer segmentation,supply chain optimization, risk assessment, predictive maintenance, and healthcare analytics, among others.

Career options in data analytics include data analyst, data scientist, business analyst.

While prior knowledge of programming can be helpful, it is not necessary to learn data analytics.

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

A data analytics job guarantee course with EXcellenC typically involves an intensive training program in data analytics 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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