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Master Certificate in Data Science

Embark on a transformative journey in Data Science with our all-encompassing Master Certificate program. Tailored to meet the escalating demand for skilled data experts, our curated courses—spanning Data Science, Data Engineering with Python, Data Science with R, and Data Analytics using Power BI—pave the way to promising careers in data interpretation, business intelligence, and strategic decision-making driven by insights.

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Course objective

Advance your professional journey in the evolving domain of Data Science through our Master Certification program. Engaging in comprehensive training and practical experiences, you'll acquire the specialized competencies essential for thriving in data-focused roles. Our curriculum, aligned with industry standards, bridges your current knowledge with the critical skills sought by leading Data Science positions. Upon completion, you'll possess both the theoretical understanding and hands-on proficiency to drive data-informed strategies, extract meaningful insights, and contribute significant value to your chosen 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 delves into both foundational and advanced machine learning topics, including data preprocessing, feature transformation, algorithm selection, and model optimization. Participants will gain hands-on experience implementing widely-used machine learning techniques like regression, clustering, and decision trees using Python and R.

Who is this Course suitable for?
  • Information technology specialists.
  • Individuals aiming to become data science experts.
  • Software engineers seeking to expand their skill set.
  • Professionals in analytics roles desiring deeper insights.
  • Recent graduates aspiring to enter the field of AI.
Salary Range Penetration
About

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

Enhance your career readiness through immersive, real-world projects that bridge academic learning with industry demands. Our program offers hands-on experience in areas like predictive analytics, customer segmentation, and AI-driven solutions, equipping you with practical skills and a competitive edge. Engage in projects such as 'Predictive Analytics for Sales Forecasting,' 'Customer Segmentation Using Clustering Techniques,' and 'AI-Powered Chatbot Development.' These experiences not only bolster your resume but also prepare you to tackle real-world challenges confidently.

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