MCZEAL'S

DATA SCIENCE & MACHINE LEARNING

The McZeal’s Data Science and Machine Learning Programme is a one stop destination to anyone who seek for a high growth career in the field of Data Science. 

At McZeal Academy, we offer this programme in three different levels: 

     1) Short term Certificate in Data Science

    2) Diploma in Data Science

    3) PG Diploma in Data Science


This programme is a blend of academic rigour and significant industry exposure equipping you with highly advanced conceptual knowledge and futuristic skillsets unmatched by any other such programmes. 


The curriculum of this programme is framed with an objective of transforming learners from programming as well as non-programming background into a Data Science Professional with uncompromising standards.Heading 3 here

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Programme Highlights

Designed for Working Professionals, Graduates & Students

Classroom sessions & Live Online Classes + Recorded videos

Available in English and தமிழ்

Personalized Feedback on Assignments

Doubt Clearing Sessions

Assignment Evaluation & Solution

Industry Experts Led Live Sessions

Diverse Project Portfolio + Capstone

Job Assistance Program

Soft Skills Sessions

Aptitude Training

Resume Building Sessions

Mock Interviews

Key Differences Between Data Science and Data Analytics

Aspect
 Data Science
Data Analytics
Core Languages
Python, R, TensorFlow, Hadoop, SQL.
Excel, SQL, Tableau, Power BI, Google Analytics.
Programming Depth
Requires advanced coding proficiency to handle algorithms, big data, and build predictive models.
Involves basic to intermediate programming skills for data cleaning and routine analysis
Use of AI/ML
Machine learning, AI, predictive modeling.
Descriptive statistics, dashboards, reports.
Data Processing Tools
Utilizes big data frameworks like Hadoop, Spark, and advanced data mining techniques.
Relies on business intelligence tools like Tableau and Power BI for reporting and visualization.
Scope of Application
Wide-ranging, including AI, robotics, predictive analytics, and automation across industries.
Narrower, concentrating on improving business processes through data-driven insights.
Main Objective
Focuses on discovering future trends and creating new solutions using data
Aims to interpret past data for better decision-making and operational improvements.
Industries
AI, robotics, healthcare, finance, marketing.
Retail, finance, marketing, operations.
Skills Required
Programming, math, machine learning expertise.
Data visualization, basic statistics, reporting.
Job Roles
Data Scientist, Machine Learning Engineer.
Data Analyst, Business Analyst.

Syllabus

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