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In-Depth Data Science Training
Program For Professionals

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Objectives

This course aims to equip participants with advanced skills in Python programming, data structures, SQL and NoSQL databases, data warehousing, and data modeling.

It includes practical training in data analytics, visualization, and handling data policies, culminating in an industry-focused project to apply learned concepts effectively.

Course Outcome

Proficiency in data wrangling, statistical analysis, and machine learning techniques.
Ability to perform exploratory data analysis and draw meaningful insights from data.
Competence in building and evaluating machine learning models for prediction and classification tasks. AI.
Skill in data visualization and storytelling using data.
Understanding of big data technologies and distributed computing principles.
Readiness for roles such as Data Scientist, Machine Learning Engineer, Business Analyst, etc.
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