Introduction to Data Science Naiyan Noor.pdf
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This document is a certificate confirming that Naiyan Noor successfully completed an online Introduction to Data Science Specialization. The specialization consisted of 4 courses that covered topics like what data science is, tools used by data scientists, data science methodology, and using SQL to query databases from Python. Through hands-on labs and projects, learners developed foundational data science skills to prepare for a career or further learning involving more advanced data science topics.
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Title: A Comprehensive Overview of Data Science: Unveiling Insights through Descriptive Analytics
Abstract:
In today's data-driven world, the field of data science has emerged as a pivotal force driving decision-making processes across industries. This comprehensive overview delves into the realm of descriptive analytics within data science, elucidating its significance, methodologies, and real-world applications. Beginning with an exploration of fundamental concepts, the narrative progresses to discuss key techniques, tools, and challenges encountered in descriptive analytics. Through illustrative examples and case studies, this paper aims to provide readers with a nuanced understanding of how descriptive analytics extracts valuable insights from data, facilitating informed decision-making and driving organizational success.
Keywords: Data Science, Descriptive Analytics, Exploratory Data Analysis, Data Visualization, Statistical Techniques, Real-world Applications.
1. Introduction to Data Science:
1.1 Evolution and Importance of Data Science
1.2 Definition and Scope of Data Science
1.3 Role of Descriptive Analytics in Data Science
2. Foundations of Descriptive Analytics:
2.1 Understanding Data Types and Sources
2.2 Data Preprocessing and Cleaning Techniques
2.3 Exploratory Data Analysis (EDA)
2.4 Feature Engineering for Descriptive Analysis
3. Exploratory Data Analysis (EDA):
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4. Statistical Techniques in Descriptive Analytics:
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4.2 Measures of Dispersion
4.3 Probability Distributions
4.4 Correlation and Covariance Analysis
4.5 Hypothesis Testing in Descriptive Analytics
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5.2 Types of Data Visualization Techniques
5.3 Tools and Libraries for Data Visualization
5.4 Best Practices in Data Visualization
6. Real-world Applications of Descriptive Analytics:
6.1 Retail and E-commerce
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Bangalore is home to premier educational institutions like the Indian Institute of Science (IISc) and the International Institute of Information Technology Bangalore (IIIT-B), which provide top-notch data science programs.
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