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Master Certificate in Data Science

Unlock your potential in the realm of Data Science with our comprehensive Master Certificate program. Specifically designed to address the industry's growing need for expert data professionals, our specialized courses - including Data Science, Data Engineering with Python, Data Science with R, and Data Analytics with Power BI - open doors to exciting career prospects in data-driven insights, business intelligence, and informed strategic decision-making
 

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Course objective

Accelerate your career trajectory in the dynamic field of Data Science with our Master Certification program. Through immersive training and real-world application, we equip you with the specialized skills required to excel in data-centric positions. Our industry-aligned curriculum seamlessly connects the dots between your existing expertise and the essential competencies demanded by top Data Science roles. Upon graduating from our program, you'll be empowered with the theoretical foundations and practical expertise to inform data-driven strategies, distill actionable insights, and create lasting value within your desired organization

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Program Duration

226


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Accredited by

AICSM

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Flexible Learning

In-center and online


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Project-based Assessment

Hands-on with assessment

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Placement Support

Upon successful completion

Key Topics Covered

Data Analytics
  • Advanced Visualizations
  • Dashboard Building
  • Data Preprocessing & Calculated Fields
  • Formatting in Tableau
  • Geo Spatial Analysis
  • Tableau and Data Visualization
  • Working with Amazon Cloud & MySQL
Python
  • Advance Features
  • Analytics using Python
  • Basics and Syntax
  • Data Structures and Types
  • Fundamental Features
  • Introduction
Machine Learning
  • Advance algorithms
  • Big Data and Genetic Algorithms
  • Classification Algorithms
  • Clustering Algorithms
  • Introduction to Machine Learning
  • Neural Networks and Deep Learning
  • Regression Algorithms

Scope & Career Opportunities

This course covers both fundamental and advanced machine learning concepts, such as data preparation, feature engineering, model selection, and optimisation. You will learn to use and implement popular machine learning algorithms such as regression, clustering, and decision trees in Python and R.

Who is this Course suitable for?
  • Aspiring data scientists
  • Software developers
  • IT professionals
  • Analytics professionals
  • Graduates looking for a career in AI
Salary Range Penetration
About

Real-time Professional project experience to prepare student for their future

Clearly communicate the benefits of using the app. Explain how it solves a problem or improves the user's life in some way. Focus on the value proposition and what makes the app worth downloading. Include a prominent call-to-action button that encourages visitors to download the app or sign up for a free trial.

Clearly communicate the benefits of using the app. Explain how it solves a problem or improves the user's life in some way. Focus on the value proposition and what makes the app worth downloading. Include a prominent call-to-action button that encourages visitors to download the app or sign up for a free trial.Clearly communicate the benefits of using the app. Explain how it solves a problem or improves the user's life in some way. Focus on the value proposition and what makes the app worth downloading. Include a prominent call-to-action button that encourages visitors to download the app or sign up for a free trial.

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