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Introduction to Data Science

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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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    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.

    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

    Introduction to Data Science Course Content

    Download Syllabus
    Module 1 Foundational Concepts
    • 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
    Module 2 Practical Implementation
    • Hands-on experience with Twitter API data collection
    • Advanced data analysis techniques and methodologies
    • Implementation of sentiment analysis frameworks
    • Practical application of topic modelling

    Schedules for Introduction to Data Science

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      Introduction to Data Science Exam Details

      Exam Details

      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.
      Prerequisites

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

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      Introduction to Data Science is ideal for

      • IT professionals
      • Software developers
      • Automation engineer
      • Product managers
      • Graduates in computer science/mathematics/statistics
      • Project managers
      • Quality analysts
      • Anyone with basic programming knowledge
      • Business analysts
      • Data enthusiasts
      • Business intelligence professionals
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      Happy learners and successful teams, that’s how we measure our impact. Here are just a few of the many who’ve trusted AgileFever.

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      Benefits That Set You Apart

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      Steps to Getting Certified

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      Journeys that keep Inspiring ✨ everyone at AglieFever

      I had no prior experience in data science, but this course made everything easy to understand. The instructors explained concepts clearly, and the hands-on projects were really helpful. I now feel confident working with data and even got my certification! Highly recommend Agilefever for anyone starting their data science journey.

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      Sarah thompson

      Data Analyst

      I wanted to expand my skill set and understand data science fundamentals, and Agilefever’s training was the perfect choice. The instructors were knowledgeable, and the course structure was well-paced. The certification gave me confidence, and I’ve already started using data science techniques in my projects. Great learning experience

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      James Carter

      Software Engineer

      I had some experience working with data, but Agilefever’s Introduction to Data Science course helped me connect the dots and understand key concepts better. The real-world examples and projects made learning fun and practical. Earning the certification has opened new career opportunities for me. Thank you, Agilefever.

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      Emily Rogers

      Business Analyst

      Frequently Asked Questions

      1. Is this introduction to data science suitable for freshers?

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

      2. Is coding required for this course?

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

      3. Who can benefit from this course?

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

      4. Will I receive certification after completing the course?

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

      5. What is the course duration?

      This is a 2 days intense course.

      6. Does data science have a future?

      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.

      7. What is an introduction to a data science course?

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

      8. What are the 5 C's of data science?

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

      9. How can a beginner learn data science?

      Taking an online course is the best choice to take.

      10. What is the price of the introduction to data science training?

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

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