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Get certified by global certification bodies and deepen your expertise

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Program Overview

Class Mode

Online | Interactive Live sessions

Eligibility Criteria

No Eligibility Criteria. Basic concepts provided by us

Course Fees

₹ 1,18,000 (Including GST)


Lifetime Access (50+ pdf, 100+ videos)


24X7 Round the clock doubt clearing session


World Recognised Certificate

Data science is an interdisciplinary field that seeks to extract knowledge or insights from many types of data, both structured and unstructured. Data science incorporates techniques and theories from a variety of domains, including mathematics, statistics, operations research, information science, and computer science. In recent years, there has been a significant increase in the demand for qualified data scientists. Data analysis is not only necessary but also necessary for addressing the challenges of making the most efficient strategic and tactical decisions. Data science is used in a variety of fields, including government, agriculture, atmospheric sciences, and infrastructure.

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Course Module

  • Semester 1
    • Introduction To Python Programming
    • Statistics For Data Science
  • Semester 2
    • Mathematics For Data Science
    • Categorical Data Analysis
    • Data Interpretation, Visualization And Analysis
    • Machine Learning Categories
    • Regression
    • EDA
  • Semester 3
    • Classification
    • Clustering
    • Advanced Topics In Data Science
  • Semester 4
    • Deep Learning
    • Artificial Neural Networks
    • Convolutional Neural Networks
    • Project In Data Science
Start To For Getting Certificate

Get Your Quality Skills Certificate Through Exam

Skills covered

  • Machine Learning
  • Deep Learning
  • NLP
  • Linear Algebra
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Tools covered

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What We Offer

Our Training Options

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Basic Plan

Advanced programming for Data Science
₹ 1,18,000 (Including GST)
Lifetime Access (24X7)
Per Month 5 Live Webinar
World Recognised Certificate
3 Months Internship Program after the course
Next Course Enrollment 5% Discount
Whatsapp Group Tech Support

Upcoming Batch Schedule

WAPT Batch (Online)

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Our Instructors

Why should you choose Dataspace Academy

  • Fee Payment Plan

  • Block Amount: INR 10,000 (payable within 7 days of receipt of provisional Admission Letter)
  • The remaining program fee of INR 1,08,000 will be paid across three semesters.
  • Knowledge Outcomes Learning Outcomes

  • The Student knows and can apply object-oriented programming principles (e.g., class, object, method, inheritance, polymorphy, encapsulation, etc.) to write object-oriented code
  • The Student understands Python’s imperative, functional, and object-oriented language features and knows when to use each.
  • The Student exhibits knowledge of web programming standards utilizing the Python programming language
  • Skills

  • The Student can create an efficient data pipeline using various programming concepts
  • The Student can test, debug, maintain version control (git), and code in groups
  • For web programming, you can use one of the popular Python web frameworks (e.g.Flask, Django, etc.).
  • General knowledge

  • The Student can evaluate various programming approaches for a specific data science task
  • The Student may do a code review on a data pipeline, record faults, and offer improvements


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Got any Questions?

  • What makes data science so popular?

    Businesses have benefited greatly from the mathematical and statistical foundations of data science. Data science, on the other hand, has just lately been employed in a commercial setting. These developments have sparked a surge in interest in data science and its many applications.

  • What exactly does a data scientist do?

    A data scientist's job can involve anything that has to do with arithmetic or statistics. A data scientist's daily tasks include establishing business challenges or opportunities, manipulating data to solve problems, data modelling and testing to provide business solutions, and coding to implement the chosen solution.

  • Is there a future for data science?

    In data science, automation is already increasing, and it shows no signs of slowing down. You can already train a machine to discover the best feasible business solution to a problem based on several parameters.