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Online Certified CourseData Science and Data Analytics
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Course Modules
Unit 01 Introduction To Data Science & Data Lifecycle
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Learning Objectives
- Explain the fundamental concepts, terminology and importance of Data Science and Data Analytics.
- Understand the complete data lifecycle, from data collection to interpretation and reporting.
- Collect, organise, clean and preprocess structured and unstructured data.
- Perform exploratory data analysis to identify patterns, trends and relationships.
- Apply basic statistical methods to analyse and interpret datasets.
- Create meaningful charts, visualisations, dashboards and analytical reports.
- Use Python and essential libraries for data analysis.
- Understand the fundamentals of machine learning and predictive analytics.
- Analyse real-world datasets and generate actionable insights.
- Apply data-driven approaches to solve problems across different sectors.
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Why This Course Matters
- Builds a strong foundation in Data Science and Data Analytics.
- Develops practical skills in data collection, cleaning, preparation and analysis.
- Introduces Python and industry-standard libraries used by data professionals.
- Enhances understanding of statistical analysis and exploratory data analysis.
- Develops the ability to create effective visualisations and dashboards.
- Introduces machine learning, predictive analytics and business intelligence.
- Improves analytical thinking, problem-solving and decision-making skills.
- Provides practical experience through real-world datasets, demonstrations and case studies.
- Prepares learners for entry-level roles in data analysis, business intelligence and Data Science.
- Supports career pathways in agriculture, business, healthcare, research and the public sector.
- Equips learners to transform raw data into meaningful insights for informed decision-making.
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What You'll Learn in Each Module
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Overview & Objectives
Data Science and Data Analytics
Structured online learning designed to help learners build practical speaking, presentation and interpersonal ability.
About This Course
This course introduces the fundamentals of Data Science and Data Analytics, covering the complete data lifecycle, data collection, preparation, cleaning, exploratory data analysis, statistical methods, data visualisation, Python programming, predictive analytics and machine learning. It equips learners with practical knowledge and essential skills to analyse datasets, identify meaningful patterns, generate actionable insights and support data-driven decision-making.
Meet Your Trainer
Dushyant Kumar Singh
Dr. Dushyant Kumar Singh is an academician, researcher and technologist with more than 18 years of experience in teaching, research and development, industry, corporate training and academic leadership. He is currently working as an Associate Professor at Lovely Professional University, Punjab.
His areas of expertise include embedded systems, the Internet of Things, artificial intelligence, machine learning, deep learning, edge computing, generative AI, Python programming and business intelligence. He has designed and delivered courses, workshops and training programmes on emerging technologies for students, faculty members and industry professionals.
Dr. Singh has authored and edited books, contributed chapters to academic publications and published numerous research papers in reputed journals and international conference proceedings. His research interests particularly include precision agriculture, intelligent irrigation, IoT-enabled monitoring systems and AI-based applications. He also holds several Indian and UK patents and design registrations for innovative technology-based devices.
His achievements include mentoring the first-prize-winning project at the Fourth Delta Advanced Automation Contest in China and serving as a judge, session chair, technical committee member and reviewer for reputed conferences and journals. He is committed to promoting practical, innovation-driven and industry-oriented technology education.
