The document outlines the upcoming data science certification courses in Gurgaon starting June 2024 and highlights key challenges in learning data science, including the need for mathematical, programming, and domain knowledge. It defines data science as an interdisciplinary field focused on extracting insights from data and describes important components such as data collection, cleaning, and exploratory analysis. The document also emphasizes the significance of learning data science for career opportunities and personal skill enhancement.

1. DataMites™
Data Science Certification in Gurgaon
Upcoming Batch Schedules – June 2024
Toll Free Number: 1800 313 3434

2. Is Data Science hard?
Factors that Make Data Science Challenging
Mathematics and Statistics: Data science relies heavily on
mathematical concepts, particularly statistics. Understanding
probability, distributions, statistical tests, and inferential statistics can
be challenging without a solid foundation in math.
Programming Skills: Proficiency in programming languages like
Python or R is essential. For those without a programming background,
learning to code can be a significant hurdle.
Domain Knowledge: Applying data science effectively requires
understanding the specific domain you're working in, whether it's
finance, healthcare, marketing, etc. This domain expertise is crucial for
asking the right questions and interpreting results correctly.

3. Definition of Data Science
Data science is an interdisciplinary field that combines statistical analysis, machine learning, data
engineering, and domain expertise to extract meaningful insights and knowledge from structured
and unstructured data. It involves the collection, cleaning, processing, and analysis of data to
inform decision-making, drive innovation, and solve complex problems across various industries.
Key components of data science include:
• Data Collection: Gathering data from various sources, including databases, APIs, web
scraping, and real-time data streams.
• Data Cleaning and Preparation: Handling missing values, correcting errors, and transforming
raw data into a usable format.
• Exploratory Data Analysis (EDA): Analyzing data sets to summarize their main
characteristics, often using visual methods.

4. Upcoming Batches in Gurgaon
• Training Dates:
22nd June 2024 ( Online – Weekend)
22nd June 2024 ( Classroom – Weekend)
24th June 2024 ( Online – Weekday)
24th June 2024 ( Classroom – Weekday)
24th June 2024 ( Online – Weekday)
Course Details
• 8 Months Course
• Project work
• IABAC Certification
• Internship Project

5. Explain the significance of
learning data science.
• High Demand and Career Opportunities
• Informed Decision-Making
• Competitive Advantage
• Problem Solving
• Interdisciplinary Applications
• Enhancing Personal Skills
• Adaptability to Future Trends

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