Data science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract insights and knowledge from structured and unstructured data. For More Details Visit: https://datamites.com/data-science-course-training-chennai/

1. DataMites™
Data Science Course in Chennai
Upcoming Batch Schedules – March 2024
Toll Free Number: 1800 313 3434

2. Who is Data Scientist
A data scientist is a professional who gathers, analyzes, and
interprets large amounts of complex data to help organizations
make informed decisions. They utilize various techniques from
statistics, mathematics, and computer science to extract
meaningful insights from data. Data scientists often work with
programming languages like Python or R to manipulate data,
build predictive models, and create data visualizations. Their
responsibilities may include data cleaning, data mining, statistical
analysis, machine learning, and communicating findings to
stakeholders in a clear and understandable manner. In essence,
data scientists play a crucial role in leveraging data to drive
strategic business decisions and solve complex problems across
various industries.

3. Why Do Become a Data Scientist
High Demand: Data science is a rapidly growing field with a high demand for skilled professionals. Organizations
across industries are increasingly relying on data-driven insights to inform their decisions, creating ample job
opportunities for data scientists.
Lucrative Salaries: Data scientists often command competitive salaries due to the specialized skills and expertise
required for the role. The demand-supply gap in the field also contributes to higher salary prospects.
Intellectual Challenge: Data science involves solving complex problems and extracting valuable insights from large
datasets. For individuals who enjoy intellectual challenges and analytical thinking, data science offers a stimulating
and rewarding career path.
Impactful Work: Data science has the potential to make a significant impact across various domains, including
healthcare, finance, marketing, and more. By leveraging data to solve real-world problems, data scientists can
contribute to advancements in their respective fields and drive positive change.
Versatility: Data science skills are highly versatile and can be applied to a wide range of industries and domains. This
versatility allows data scientists to explore different career paths and work on diverse projects, keeping their work
engaging and dynamic.
Continuous Learning: Data science is a field that constantly evolves with new technologies, tools, and techniques
emerging regularly. For individuals who enjoy learning and staying updated with the latest developments, data
science offers ample opportunities for continuous growth and skill enhancement.

4. Upcoming Batches in Chennai
• Training Dates:
4th March 2024 ( Online – Weekday)
23rd March 2024 ( Online – Weekend)
11th March 2024 ( Online – Weekday)
23rd March 2024 (Classroom – Weekend)
25th March 2024 ( Online – Weekday)
18th March 2024 ( Classroom – Weekday)
25th March 2024 ( Online – Weekday)
Course Details
• 8 Months Course
• Project work
• IABAC Certification
• Internship Project

5. Data Scientist Course Objectives
Fundamental Concepts: Introduce students to fundamental concepts in statistics, mathematics,
and computer science that are essential for understanding data science principles and techniques.
Data Handling and Preprocessing: Teach students how to collect, clean, preprocess, and
organize data from various sources to make it suitable for analysis.
Statistical Analysis: Provide students with a solid understanding of statistical methods and
techniques for analyzing data, including descriptive statistics, inferential statistics, hypothesis
testing, and regression analysis.
Machine Learning: Familiarize students with machine learning algorithms and techniques for
building predictive models, classification, clustering, and recommendation systems.
Data Visualization: Teach students how to visualize data effectively using charts, graphs, and
other visualization tools to communicate insights and findings to stakeholders.
Programming Skills: Develop students' proficiency in programming languages commonly used
in data science, such as Python or R, along with libraries and frameworks like NumPy, pandas,
scikit-learn, and TensorFlow.

6. Datamites™
THANK YOU
If you are looking for a Data Science course in Chennai,
please visit
https://datamites.com/data-science-course-training-chennai/