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Introduction to Data Science

This Introduction to Data Science course training is an intensive two-day course providing strategic Data Science fundamentals, machine learning applications, and practical implementation methodologies. The curriculum bridges theoretical knowledge with hands-on experience in current industry practices.

  • Intense Two-day 8 hours of live instructor-led training
  • Hands-on exercises with real-world data
  • In-demand course for everyone
  • The sexiest job of the 21st century – Harvard Business Review
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Introduction to Data Science Course Overview

What is data science? Why is it so popular? Why Data Science is named the “sexiest job of the 21st century” by the Harvard Business Review?


In this non-technical course, you can learn everything you always wanted without writing a single line of code. Yes, Data science doesn’t require any coding experience. With hands-on exercises, you can learn about the different data scientist roles, A/B testing, Time series analysis and machine learning, how to extract knowledge as a data scientist and insights from real-world data. Start your course today and gain skills in this hugely in-demand field and explore why data science is for everyone.

Introduction to Data Science Training Key Highlights

  • Hands-on experience with tools used by top tech companies
  • Framework based on analysis of 200+ successful data science projects
  • Methodology validated by industry experts and practitioners
  • Build practical skills in Python programming and machine learning applications through real-world projects
  • Learn cutting-edge techniques in Natural Language Processing (NLP) and AI implementation strategies
  • Develop end-to-end project capabilities from data gathering to insights presentation with proven methodologies

Curriculum

  • Comprehensive overview of data science principles and applications
  • In-depth exploration of AI branches with a focus on Natural Language Processing
  • Analysis of industry trends and market dynamics
  • Examination of real-world data science applications
  • Hands-on experience with Twitter API data collection
  • Advanced data analysis techniques and methodologies
  • Implementation of sentiment analysis frameworks
  • Practical application of topic modelling

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Who can attend?

This course is ideal for:

  • IT professionals
  • Graduates in computer science/mathematics/statistics
  • Business analysts
  • Software developers
  • Project managers
  • Data enthusiasts
  • Automation engineer
  • Quality analysts
  • Business intelligence professionals
  • Product managers,
  • Anyone with basic programming knowledge
  • IT professionals
  • Graduates in computer science/mathematics/statistics
  • Business analysts
  • Software developers
  • Project managers
  • Data enthusiasts
  • Automation engineer
  • Quality analysts
  • Business intelligence professionals
  • Product managers,
  • Anyone with basic programming knowledge
  • IT professionals
  • Graduates in computer science/mathematics/statistics
  • Business analysts
  • Software developers
  • Project managers
  • Data enthusiasts
  • Automation engineer
  • Quality analysts
  • Business intelligence professionals
  • Product managers,
  • Anyone with basic programming knowledge

Training Schedule

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Exam & Certification

Name of Exam – AgileFever Introduction to Data Science Examination

Exam details are as follows:

  • Practical Exams, Lab Assessments, and Projects at the end of every completed module.
  • Capstone Project at the end of the 2-day training.

Basic computer skills, analytical mindset, problem-solving ability, and familiarity with Excel or similar tools. Prior coding experience is helpful but not mandatory.

Benefits

Corporate Benefits

  • Smarter business choices using data analysis
  • Create new solutions with AI and machine learning
  • Build expert teams without expensive consultants
  • Stay ahead by predicting market and customer trends
  • Increase profits through data-driven planning

Individual Benefits

  • In-demand course highly payable in the market
  • Master real industry tools like Python and API analysis
  • Build impressive projects showing employers your abilities
  • Work across any industry
  • Stand out by knowing both theory and hands-on practice

Certification Process

Step 1: Register for the Introduction to Data Science with AgileFever

Step 2: Attend Agile Fever’s 2-days of training

Step 3: Upon successful completion of the course, you will receive certification from AgileFever

Corporate Training

 

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Testimonials

FAQs

Yes! This course is aligned for the new learners who are stepping into data science.

No, prior coding experience is required, but if you have it is useful.

Learning this course will give various career options. Data analysts, data engineers, data scientists, business analysts, research analysts and others. 

Yes! Upon successful completion of the course at AgileFever, you will be able to get a certification.

This is a 2 days intense course.

There is a vast future for the Data science as the AI is the future. This is the most in-demand course in the 21st century.

In simple words, Introduction to Data Science (IDS) teaches learners to reason with and think critically about, data in all forms.

Consent, clarity, consistency, control & transparency, and consequences & harm

Taking an online course is the best choice to take.

Refer to the schedule section to know the scheduled time and price, if not contact us to know more details.

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