Advanced programming for Data Science

(Pay 75% of the Total Fees After only Getting a Job Placement)

Google Review (245+)
4.6/5
CEHv11 Exam Passed (50+)
4.6/5
Job Placed(30+)
4.6/5

Assured Financial Features :

Program Overview:

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.

Objective of the Programme 

The goal of this program is to introduce learners to the many tools and techniques used for data processing, management, analysis, and interpretation.

Participants will be asked to join small teams and work on organization-based specialized or comprehensive projects of their choice in marketing, finance, and operations, directed by IIMC instructors. These projects must be submitted and presented as part of the DataSpace Academy module at the end of the program.

 

Course Outline

Class Mode
Online | Interactive Live sessions
Eligibility Criteria
No Eligibility Criteria. Basic concepts provided by DataSpace Academy
Course Fees
Fees for the programme: INR 1,18,000 (including GST)
LAB
Lifetime Access to DataSpace Academy LAB (50+ pdf, 100+ videos)
Support
24X7 Round the clock doubt clearing session
Certificate
World Recognised Certificate

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
  • understands Python’s imperative, functional, and object-oriented language features and knows when to use each.
  • exhibits knowledge of web programming standards utilizing the Python programming language

 

Skills

The student

  • can create an efficient data pipeline using various programming concepts
  • 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
  • may do a code review on a data pipeline, record faults, and offer improvements

Course Module :

Introduction to Ethical Hacking

Footprinting and Reconnaissance

Scanning Networks

Enumeration

Vulnerability Analysis

System Hacking

Malware Threats

Sniffing

Social Engineering

Denial-of-Service

Session Hijacking

Evading IDS, Firewalls, and Honeypots

Hacking Web Servers

Hacking Web Applications

SQL Injection

Hacking Wireless Networks

Hacking Mobile Platforms

IoT and OT Hacking

Cloud Computing

Cryptography

Advanced programming for Data Science
1,18,000 INR (Including GST)
  • 40+ Hours Live Classes
  • 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

Quick Links

Free Resources

Reach US

India

Kolkata

Globsyn Crystals, Tower-1, 5th Floor, EP Block, Salt Lake Electronics Complex,Sector V, Bidhannagar, Kolkata, West Bengal 700091

Guwahati

Natun Bazar, Basistha Road, Near Durga Mandir(Natun Bazar) opposite: of Nandini Lodge, Joymati Market, 2nd floor, Basistha, Guwahati-29, Assam

Dubai

Electronic Networks & Systems (C.R. 2051040425), Al-Khobar, EP, KSA

DataSpace Academy Available in other cities

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