EduBridge
EduBridge Logo

IBM - Institute of Business Management - Advanced Certification Program in Data Analytics 

  • Offered byEduBridge

Advanced Certification Program in Data Analytics
 at 
EduBridge 
Overview

An in-depth course that provides comprehensive training specially designed to make you industry-ready for a Data Analytics career

Duration

550 hours

Total fee

85,000

Mode of learning

Online

Official Website

Go to Website External Link Icon

Credential

Certificate

Advanced Certification Program in Data Analytics
 at 
EduBridge 
Highlights

  • Earn a certificate of completion of course from EduBridge
  • Zero Cost EMI Facility Available
  • 110% money-back job guarantee program
  • Access to content with voiceovers
  • Access to an AI-enabled proctored assessment platform
  • Doubt clearing sessions on the weekends with SMEs
Read more
Details Icon

Advanced Certification Program in Data Analytics
 at 
EduBridge 
Course details

What are the course deliverables?

Help you become a master in Data Analytics along with Excel, R, and Python

Enhance your knowledge of SAS, the most widely used software for Analytics

Help with learning and implementing Power Query and Power Pivot for Data Analytics

Cover the skills learners need to use Tableau in analytics, one of the most in-demand data visualization tools

Help gain knowledge in Machine Learning with Python and complete capstone projects to solve real-world problems

More about this course

This Data Analytics course, in collaboration with IBM, aims to master beginners and professionals alike in the in-demand set of skills that are critical to today's career opportunities

Data Analytics is the assortment, conversion, and organization of these facts that help to conclude, make predictions, and drive informed decision-making

It is the master key to opening the path to the success and growth of businesses, irrespective of their nature

 

Advanced Certification Program in Data Analytics
 at 
EduBridge 
Curriculum

Introduction to Data Analytics

Introduction to Data

Types of Data

Based on Structure

Based on Measurements

Scales of Measurement

Based on Observation

Data Collection Techniques

Introduction to Data Analytics

Types of Data Analytics

Role of Data Analyst

 

Introduction to Business Intelligence

Fundamentals of Business Intelligence

Business Intelligence Life Cycle

Business Intelligence Tools

Responsibilities of Business Analyst

Introduction to Business Analytics

Ethics in Business Intelligence

Future trends in Business Intelligence

 

SQL for Data Analytics

Introduction to SQL and Relational Databases

Querying Data with SQL

Aggregating and Grouping Data

Joins

Advanced SQL Concepts

Working with Views and Stored Procedures

Indexing and Performance Optimization

 

Fundamentals of Python Programming

Introduction to Python

Basic Python Syntax and Data Types

Control Flow and Loops

Collections and Data Structures

Functions and Modules

File Handling

Exceptions Handling

Object-Oriented Programming (OOP) in Python

Advanced Python Features

 

Python for Data Analytics

Numerical Programming with Numpy

Data Analysis with Pandas

Data Visualization with Matplotlib and Seaborn

Exploratory Data Analysis (EDA)

 

R for Analytics
Introduction to R for Data Analytics

Data Manipulation with dplyr

Data Visualization with ggplot2

Data Cleaning and Preprocessing

Exploratory Data Analysis (EDA)

 

Statistics for Decision Making

Introduction to Statistics

Probability Theory

Statistical Inference

Comparing Two or More Groups

Regression Analysis

Categorical Data Analysis

 

Introduction to Machine Learning

Introduction to Machine Learning

Data Preprocessing for Machine

Learning

Supervised Learning Algorithms

Model Evaluation and Cross-Validation

Unsupervised Learning Algorithms

Model Selection and Hyperparameter Tuning

 

Advanced Machine Learning

Review of Machine Learning Fundamentals

Advanced Supervised Learning Algorithms

Ensemble Learning and Model Stacking

Advanced Unsupervised Learning

Time Series Analysis and Forecasting

Introduction to NLP

 

SAS for Data Analytics

Introduction to SAS

SAS Programming Basics

Data Exploration and Visualization

Descriptive Statistics and Data Analysis

Regression Analysis in SAS

SAS SQL for Data Manipulation

Advanced SAS Programming Techniques

Advanced Certification Program in Data Analytics
 at 
EduBridge 
Entry Requirements

GraduationUp Arrow Icon
  • N/A
Post GraduationUp Arrow Icon
  • N/A
Other eligibility criteriaUp Arrow Icon
Conditional OfferUp Arrow Icon
  • Not mentioned

Advanced Certification Program in Data Analytics
 at 
EduBridge 
Admission Process

    Important Dates

    Dec 20, 2024
    Application Submit DateOngoing

    Other courses offered by EduBridge

    – / –
    326 hours
    – / –
    – / –
    453 hours
    – / –
    – / –
    443 hours
    – / –
    – / –
    488 hours
    – / –
    View Other 15 CoursesRight Arrow Icon

    Advanced Certification Program in Data Analytics
     at 
    EduBridge 
    Students Ratings & Reviews

    5/5
    Verified Icon1 Rating
    Y
    Yoginder
    Advanced Certification Program in Data Analytics
    Offered by EduBridge
    5
    Learning Experience: The journey of Learning about data analysis was awesome, it so much related to my ability and this course helps me lot for doing better in this field
    Faculty: They provides us some data for analysis practice and they also available at very time in a day I learnt from some modules and live classes 5 days in a week, our trainer was so good in this field
    Course Support: It's provides me new vision and new path to achieve new highs
    Reviewed on 12 Mar 2023Read More
    Thumbs Up IconThumbs Down Icon
    View 1 ReviewRight Arrow Icon
    qna

    Advanced Certification Program in Data Analytics
     at 
    EduBridge 

    Student Forum

    chatAnything you would want to ask experts?
    Write here...