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Data Science Course

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Course offered by Sangeetha Marikkannan

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Companies across every industry—finance, healthcare, tech, and retail—are leveraging data to make smarter business decisions. Roles like Data Scientist, Machine Learning Engineer, Data Analyst, and Business Intelligence Specialist are in high demand. Data Science professionals are among the highest-paid in the tech industry, with plenty of room for growth. Learn how to turn raw data into actionable insights, helping organizations boost performance, customer engagement, and revenue. 

If you are looking to break into the exciting field of Data Science, this course will give you the skills and confidence to succeed. Expand your current skill set to include advanced analytics and machine learning techniques. Equip yourself with data-driven decision-making skills to enhance your career and contribute to your organization’s success.

 

What Will You Learn?

Python Programming for Data Science

Data Wrangling and Preprocessing

Exploratory Data Analysis (EDA)

Machine Learning

SQL 

Data Visualization - Matplotlib, Seaborn, and Power BI

Real-World Projects

 

 

About the Trainer

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Sangeetha Marikkannan

Doctor of Philosophy (Ph.D.) from Anna University in 2010

20 Years of Experience

This is Dr M Sangeetha, I have completed PhD in the year 2010, ME in the year 1999 and BE in the year 1996. I have 23 years of teaching experience in colleges. I am comfortable to handle computer subjects. I'm equipped to handle topics across many fields. I teach to students passionately. I do update myself regularly. This semester I was given with NPTEL Domain star ( Data Science) in Computer Science from IIT Madras. Previous semester I am given with NPTEL Discipline star from IIT Madras. I regularly motivate students to have better career. Many of my students have completed Masters because of my motivation. My teaching approach defers according to student to student. I teach concepts clearly and in very simple manner. I motivate students to interact with me regularly. I encourage and support students always. I always touch real life example while explain concepts. I do patiently listen to students. Regularly assessing and adjusting teaching methods based on feedback and learning outcomes. My teaching strength basically I teach the concepts in depth starting from basics. I adjust my teaching according to the learning ability of students. Patience is one of my strength and I revisit concept many times. I interact with students regularly. I develop problem solving skills in students.

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