Data Science Course in Delhi

Data Science Course in Delhi

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Join the program and get the opportunity to learn under the guidance of an data science course in delhi specialist.

Data Science Course in Delhi

Expertise

prof trained

80000+

Professionals Trained
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50+

Industry Expert Trainers
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8 Branches

In NCR
corporate

2500+

Corporate Served

Course Duration

--

Certificate

Yes

Live Project

--

Training Mode

Classroom / Online

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Ducat is the Best Data Science Institute in Delhi providing Data Science course covers essential topics like data analysis, machine learning, statistics, and programming. It equips learners with skills to extract insights from data, build predictive models, and solve real-world problems using tools like Python, R, SQL, and visualization techniques.

Data Science course for Beginners

The Data Science course for beginners introduces fundamental concepts, including data analysis, statistics, and programming with Python or R. Learn data cleaning, visualization, and basic machine learning techniques. This course builds a strong foundation, empowering you to work with datasets, uncover insights, and apply data-driven decision-making in various domains.

Why Choose Ducat India for Data Scientist Course in Delhi?

Choose Ducat India for your Data Scientist Course in Delhi to gain industry-aligned training from expert mentors, hands-on projects, and real-world case studies. With a focus on practical skills, flexible schedules, and job placement assistance, Ducat ensures you're well-equipped for a successful career in the ever-evolving field of data science.

Data Science Course Syllabus

  • Introduction to Data Science: Overview, applications, and the data science lifecycle.
  • Programming Foundations: Python/R basics, libraries like NumPy...

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Learn The Essential Skills

Learn The Essential Skills

Earn Certificates And Degrees

Earn Certificates And Degrees

Get Ready for The Next Career

Get Ready for The Next Career

Master at Different Areas

Master at Different Areas

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  • Data Analysis: Techniques for cleaning, exploring, and interpreting data using Python or R.
  • Machine Learning: Basics of supervised and unsupervised learning, including algorithms like regression, classification, and clustering.
  • Data Visualization: Creating compelling visualizations with tools like Matplotlib, Seaborn, and Tableau to communicate insights         effectively.
  • Statistics and Probability: Foundational concepts to support data-driven decision-making.
  • Big Data Tools: Introduction to tools like Hadoop, Spark, and SQL for handling large datasets.

Skill you will gain

  • Big Data Handling

  • Data Visualization Proficiency

  • Machine Learning Mastery

  • Statistical Analysis

Explore Modules of this course

Introduction to Data Science

Overview of Data Science Historical perspective Key concepts and terminologies

Mathematics and Statistics for Data Science

Linear algebra Probability theory Descriptive and inferential statistics

Programming Languages for Data Science

Python and/or R programming basics | Data manipulation and analysis libraries (e.g., NumPy, Pandas)

Data Cleaning and Preprocessing

Identifying and handling missing data | Outlier detection and treatment | Data normalization and scaling

Data Exploration and Visualization

Exploratory Data Analysis (EDA) | Data visualization tools (e.g., Matplotlib, Seaborn)

Machine Learning Fundamentals

Supervised learning | Unsupervised learning | Evaluation metrics

Feature Engineering

Feature selection | Feature scaling | Creating new features

Model Building and Evaluation

Building predictive models | Model validation and evaluation | Hyperparameter tuning

Big Data Technologies

Introduction to big data | Hadoop and Spark basics

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