About This Course
Data Science is transforming industries by unlocking insights from vast amounts of data and enabling smarter decision-making. From healthcare and finance to e-commerce and transportation, the ability to harness data effectively has become a vital skill. The Data to Intelligence: Data Science in Practice certification program is designed to empower learners with the knowledge and tools needed to extract meaningful insights and drive strategic decisions using data. This 3-month intensive program offers a comprehensive, hands-on learning experience that builds a strong foundation in data science and its practical applications.
Course Objectives
By the end of this certification program, participants will be able to:
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Understand Core Data Science Concepts: Grasp foundational principles in statistics, data analysis, and the data science lifecycle.
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Collect, Clean, and Explore Data: Learn techniques for data gathering, preprocessing, and exploratory data analysis to uncover patterns and insights.
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Apply Statistical and Analytical Methods: Use statistical models and hypothesis testing to derive meaningful conclusions from data.
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Build Predictive Models: Implement machine learning techniques to make predictions and support decision-making.
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Master Data Visualization: Create effective visualizations using tools like Matplotlib, Seaborn, and Tableau to communicate data-driven insights.
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Work with Big Data Tools: Gain hands-on experience with technologies like Hadoop, Spark, and SQL for handling large-scale data.
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Deploy Data Science Solutions: Learn how to integrate models into production environments using tools such as Flask, FastAPI, and cloud platforms.
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Leverage Data in Various Industries: Explore real-world case studies in domains like healthcare, finance, marketing, and operations.
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Ensure Ethical Data Practices: Understand data privacy, responsible data use, and the importance of transparency in data-driven decisions.
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Complete a Capstone Project: Deliver a full-scale data science project demonstrating the application of learned skills from data wrangling to model deployment.
Learning Objectives
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Target Audience
- The target audience of Data Science includes students, data analysts, software developers, business analysts, and professionals in finance, healthcare, marketing, and technology. It also benefits decision-makers and organizations aiming to leverage data for strategic insights, automation, and innovation across diverse domains through data-driven approaches and machine learning solutions.
Curriculum
MODULE 1
Live Class Session 1
Introduction00:16:19
Types of Machine Learning00:09:25
Discriminative Models, Gradient Descent Algorithm00:08:49
Prediction Modelling and Applications00:07:22
Probabilistic Interpretation and Regularization00:06:55
MODULE 1 – QUIZ
Assignment
Your Instructors
P Arora
Mr. P is an ambitious and goal-driven educator with 10+years of Academic Experience in Management Education. He was conferred upon with the MBA Gold Medal from His Excellency, Shri Hamid Ansari, The Honourable Vice-President, Republic of India. He had remained actively involved in various capacities of Academic and Administrative duties during his stint at the School of Management and Business Studies, Jamia Hamdard, New Delhi and also contributed to the corporate life of the institution such as Coordinator of Admissions and Examination.
His areas of interest remain Digital Marketing, Entrepreneurship, Business & Corporate Communication, E-Commerce, Social Media Marketing
He has attended several National and International Conferences, Conclaves and Seminars besides coordinating various Communication-based workshops for various leading Management Institutes.
Mr. Tafheem, has presented papers in Institutes of prime eminence such as IIM-Nagpur etc.
Apart from this, he is a diligent person with expertise in handling tough situations and managing students' (both national and international) issues with simplified processes. He is deeply interested in Online Education & Digital Learning in the current dynamic of education
Upskilling, Re-skilling, Self-paced learning, continuous knowledge updating and research-driven activities along with undertaking new projects/assignments happens to be the key interest areas of Tafheem.
He had a stint as Full Time Assistant Professor of Management at Lloyd Business School, A Constituent Unit of Lloyd Group of Institutions, Greater Noida.
He is also pursuing his Doctoral Degree in Management simultaneously.
Currently, he is working as Full Time Senior Assistant Professor at Centre for Distance and Online (CDOE) Manav Rachna International Institute of Research and Studies, (MRIIRS) NAAC Accredited A++ Deemed to Be University.
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₹1,999.00
Material Includes
- E Learning materials
