Introduction to Data Science Tutorial and Handwritten Study Notes PDF
These Introduction to Data Science PDF Study notes & tutorials will help you to get conceptual deeply knowledge about it. We are here to provides you the Best tutorials, Study Notes and Lecture notes from best institutions like MIT (Open Course), IIT (NPTEL), Washington University, California University, University of Oxford, Cornell University, Stanford University etc… which could be help you to understand concepts to Ace in BCA, BSc, B.tech/B.E course and crack any kind of Competition exams Like etc... and Ace the data science interview pdf. The huge Benefit of these notes i.e. all tutorial, Handwritten & Digital Notes are Free.
In Data Science, data preprocessing involves preparing raw data for further analysis. It includes tasks such as data cleaning, data wrangling, data scaling, and data transformation. Let’s take a closer look at each of these topics
Topics Covered in Data Science Tutorial & Study Notes PDF:
- Introduction to Data Science for beginners and advanced
- Basic Mathematics for Data Science (Linear functions, equations, regression, least square, graph theory, Linear Algebra, Matrices, Tensors etc..)Â
- Data Science / Data Analytics
- Data Mining
- Maching Learning
- Big Data
- Introduce R-Programming language for data science (Used for data analysis & manipulation)
- Packages (Data analysis, graphics, etc…)
- Data science and analytics
- Support-Graphics (only in this technology)
- Case-sentitive
- High-dimensional space and its properties
- Linear algebra and Singular Value Decomposition
- Spectral methods
- Random walks and their applications
- Random graphs and network models
- Algorithms for massive data sets and space-efficient data structures
- Convex optimisation
- Clustering
- mathematical foundations required for data science
- first level data science algorithms
- data analytics problem solving framework
- practical capstone case study Learning Outcomes etc…
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Introduction to Data Science Notes PDF (References) |
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| TOPIC / SUBJECT | TYPE / REFERENCE | LINK |
| Data Science Notes  59 | Handwritten (TD) | Click Here |
| R for Data Science Notes 66 | Handwritten (TD) | Click Here |
| Basic Mathematics for Data Science  14 | Handwritten (Linkd) | Click Here  Click Here |
| Statistics for Data Science  41 | Handwritten (Linkd) | Click Here |
| Descriptive Statistics for Data Science  12 | Handwritten (Linkd) | Click Here |
| Statistics for Interview (Machine Learning & Data Science)  85 | Handwritten (Linkd) | Click Here |
| Probability and Statistics for data science 23 | Handwritten (Linkd) | Click Here |
| Mongo DB Notes on data science  82 | Handwritten (Linkd) | Click Here |
| Data Preprocessing  48 | Handwritten (Linkd) | Click Here |
| Data Structures and Algorithms  109 | Handwritten (Linkd) | Click Here  Click Here |
| SQL Notes – Data Analysis  24 | Handwritten (Linkd) | Click Here |
| SQL – in Data Science  41 | Handwritten (Linkd) | Click Here |
| Data Science Notes Handwritten | IIT Madras Studs (Gogl) | Click Here |
| Data Science Theories, Models, Algorithms, and Analytics 462 | Digital (GTH) | Click Here |
| Data Science from Scratch 645 | Digital (tpf) | Click Here |
| Fundamentals of Data Science & Analytics pdf 169 | Digital (et) | Click Here |
| Introduction to Data Analysis with Python 53 | Digital (DM) | Click Here |
| Python for Data Analysis  470 | Digital (MC kiny) | Click Here |
| Data Science  Web Art. | Digital (Wiki) | Click Here |
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AI Artificial intelligence and data science Study Notes
Python for data science Study Notes
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Data Science Tutorial and Lecture Notes
| Â Lecture Notes | ||
| Mathematics of Data Science | MIT Open Course (ocw) | Click Here |
| IIT Data Science for Engineers (Vid) | NPTEL Open Courses (IITm) | Click Here |
| Fundamentals of Data Science  | Stanford University | Click Here |
| Introduction to Data Science  PPT 43 | Washington University in St. Louis | Click Here |
| Mathematics of Data Science | IIT Delhi | Click Here |
| Foundation of Data Science | University of Cambridge | Click Here |
| Data Science Material 13 | University of Pittsburgh | Click Here |
| Optimisation of Data Science | University of Oxford | Click Here |
| Python for Data Science Cheat sheet 9 | Université de technologie de Compiègne | Click Here |
| Introduction to Data Science 55 | University of California, Berkeley | Click Here |
| Data Preparation & Data Analysis 79 | IARE | Click Here |
| Data Mining & Data Warehousing 84 | VSSUT | Click Here |
| Foundations of Data Science 479 | Cornell University | Click Here |
| Data Science and Machine Learning 533 | The University of Queensland | Click Here |
| Machine Learning and Data Science 467 | University of Washington | Click Here |
| Probability and Statistics for Data Science 237 | New York University | Click Here |
| Data Science M.Sc 162 | University of Mumbai | Click Here |
| Data Science 302 | Sathyabama University | Click Here |
| Statistics with R Programming 302 | GVPCEW | Click Here |
| Practical Data Science – Lectures | Digital (DSC) | Click Here |
| Data Science Tutorial for Beginners Web | Digital (IP) | Click Here |
| Python for Data Science Web | Digital (TP) | Click Here |
| Data Science Tutorial Web | Digital (W3S) | Click Here |
| Data Science Tutorial for Beginners Web | Digital (DV) | Click Here |
| Data Science with Python Tutorial Web | Digital (GFG) | Click Here |
| Overview of Data Science Tutorial Web | Digital (GFG) | Click Here |
| Data Science for Beginners Tutorial Web | Digital (JTP) | Click Here |
| Data Science Tutorial Web Art | Digital (G99) | Click Here |
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