About Course

The purpose of this module is to provide you with the right skills and knowledge needed to break into various job roles analytics, data science domain. I Goal Analytics has collaborated with the industry to create a program that trains candidates specifically for the roles such as Data management Administrator, Data Scientist, Data Analyst, Data Engineer, Analytics Engineer and more by teaching relevant analytics techniques, tools, technologies, and hands-on applications through industry case.

Program Features:
  • 3 – Months Online Program
  • Live Online Sessions
  • Capstone Projects
  • Online Lab Sessions
On completing this program:

You will also develop the following soft skills:

  • Communication and Data Storytelling to explain complex technical insights
  • Adaptability in a field with continuous technological challenges
  • Ethical decision-making to ensure responsible data use
  • Critical thinking and Problem-solving to draw insights and opportunities in data
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What Will You Learn?

  • Be knowledgeable and well verse in analytics tools and technologies such as Python Programming Language, Tableau, SQL.
  • Acquire skills in advance mathematics for statistical analysis and Predictive Modelling
  • Apply Neural Network Architecture and methods to AI
  • Perform statistical Process and concepts for Data Analysis and visualisation
  • Be well verse in creating Data Science Models to solve real-world problems
  • Apply machine learning techniques such as Regression, Predictive Modelling, Clustering, Time Series Forecasting, Classification, etc.
  • Perform Data Cleaning and Data Transformation Operations using Power BI, other several tools and techniques
  • Be well verse in Deep Learning, Natural Language Processing (NLP).

Course Content

Introduction to Data Science and Analytics

  • Introduction to Data Science and Analytics
    37:45
  • Superstore Sales Analysis
    01:27:56

Introduction to programming in Python

Introduction to DataBase Management System

Exploring Data Analysis and SQL

Statistical Methods of Decision Making

Machine Learning: Regression

Machine Learning and Modelling: Classification

Unsupervised Learning: Clustering Techniques

Unsupervised Learning: PCA

Ensemble Techniques: Bagging, Boosting

Machine Learning Model Deployment Using Flask

Data Visualisation Using Power Bi

Business Analysis using Tableau

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