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Ankita Mistry
Ankita MistryBeginner
Asked: November 5, 20222022-11-05T13:14:43+05:30 2022-11-05T13:14:43+05:30In: Data Science & AI

What is the syllabus of data science course subjects?

How do I become a data scientist in India, What is the Data Science course subjects.

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  1. Esha Bhandari
    Esha Bhandari
    2022-11-06T18:39:56+05:30Added an answer on November 6, 2022 at 6:39 pm

    As data science is in high demand and data science course subjects are a major need for the learners so that they have a clear understanding about data science. Data Science and its applications which is followed by a deeper dive into topics such as Data Collection, Data Visualization, Data Pre-processing, Machine Learning basic, Python Programming basics, Python Libraries required for Data Science along with Capstone Projects including Building a Movie Recommendation System, Cancer Prediction, etc. Following are some data science course subjects.
    1. Statistics:
    It is definitely among the most important data science course subjects. It involves maintaining records and important information. Statistics is the process of analyzing historical data, like customer search history.
    1.1 Descriptive Statistics:
    It helps to understand the data. By quantitative summarization of your data through numerical representations and graphs, data can be properly described. It includes Normal Distribution, Central Tendency, Kurtosis, and Variability.
    1.2 Inferential Statistics:
    Data is not of any use if you can’t draw a conclusion out of it. Making inferences about the population through a smaller sample can be done through this. The methods it includes are Central Limit Theorem, hypothesis testing, ANOVA and Quantitative Data Analysis.
    2. Mathematics for Machine Learning:
    It is also an important part of A.I and forms an important basis of data science course subjects. Machine Learning theory is a field that divides Linear Algebra and Calculus. With the right approach through the practical implementation of math, it can be quite fun!
    3. Programming Knowledge: A good hold of programming languages
    is a must in data science and it forms a basis in data science course subjects. These are the essential ingredients for Data science.
    1)Advanced Microsoft Excel:
    Excel is very useful to clean data because of its vast set of features.
    2)Python:
    Python is an interpreter based language as it interprets the Python code . You can check out over the internet for some good learning.
    3)R:
    R is customized to develop statistical models for analyzing a large amount of data.
    4)SQL:
    SQL helps to retrieve and manipulate data from the database.
    In conclusion, I just want to say that even if you read 100 books, but are not able to apply that theoretical knowledge on numbers then it will not add value. Online courses are available and all you need to do is be self-motivated and inspired by yourself and you will see how you will be able to learn it in a short span of period.
    These are some of the important data science course subjects which are required to make a career in data science.

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  2. Vincent Ralph
    Vincent Ralph
    2022-11-06T18:40:00+05:30Added an answer on November 6, 2022 at 6:40 pm

    Data science is the field of study that includes domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful perceptions from data.
    3 Main subjects in the Data Science course are:
    Machine Learning
    Big Data
    Business Intelligence
    Machine Learning Course Syllabus
    Machine learning is the execution of algorithms and mathematical models to make capable machines of solving problems like humans. In data science, machine learning can be used to predict the outcomes for the coming months or years based on past data.
    Syllabus :
    Introduction to Machine Learning
    Machine Learning Techniques and Algorithms
    Machine Learning and Artificial Intelligence
    Programming Languages (Python, Java, C++, R, etc.)
    Deep Learning
    Artificial Neural Networks and their Application
    Natural Language Processing
    Reinforcement Learning

    Big Data Course Syllabus
    Big Data instruments and procedures are crucial in changing this unstructured data into a structured structure.
    Syllabus of Big Data:
    Basics of Programming
    Agile Methodology
    Testing and Version Control
    Large-Scale Data Processing
    NoSQL Databases
    Integration and Testing
    Object-Oriented Design
    Big Data Fundamentals
    ETL and Data Ingestion
    Hive and Querying

    Business Intelligence Syllabus
    When broken down cautiously and introduced in visual reports such as graphs, the data delivered consistently by businesses can refreshen.
    Quantitative Methods
    Managerial Economics
    Management Information Systems
    Financial Accounting
    Marketing Management
    Organizational Behaviour
    Statistical Analysis
    Data Modelling
    Predictive Analytics
    Risk Management
    Marketing Analysis
    Managerial Communication
    Data Mining
    Simulation Modeling
    Analytics, Systems Analysis & Design

    Financial Management
    Operations Management
    Human Resource Management
    Financial Analytics
    Optimization Analytics
    Stochastic Modeling
    Business Intelligence
    Research Methods
    Computational Methods
    Strategic Management
    Operations & Supply Chain Analytics
    HR Analytics
    Big Data Analytics
    Ethical & Legal Aspects of Analytics
    Project Management

    Data Science Syllabus for Beginners
    Data science beginners or those who want to check out data science courses after the 12th can pursue data science courses online. There are plenty of online data science courses for beginners. The data science syllabus for beginners in the section below:
    Introduction to Data Science
    Data Mining
    Cloud Computing
    Data Analysis
    Data Visualization
    Data Model Selection and Evaluation
    Machine Learning
    Business Intelligence
    Data Warehousing
    Data Dashboards and Storytelling

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  3. Lobsang Chodon
    Lobsang Chodon
    2022-11-06T18:40:03+05:30Added an answer on November 6, 2022 at 6:40 pm

    Simply said, data science is an interdisciplinary field of study that uses scientific procedures, methods, systems, and algorithms to draw necessary conclusions and information from both structured and unstructured data. Big Data, ML, and Data Science Modeling are the three primary pillars of the data science curriculum. Statistics, coding, business intelligence, data structures, mathematics, machine learning, & algorithms are some of the key topics covered in the Data Science curriculum. The three main topics covered in the Data Science course syllabus are Big Data, Machine Learning, and Data Science Modeling. The contents span a variety of topics within these three key areas of this popular discipline. The whole Data Science Syllabus is available here.
    Introduction to Data Science
    Mathematical & Statistical Skills
    Machine Learning
    Coding
    Algorithms used in Machine Learning
    Statistical Foundations for Data Science
    Data Structures & Algorithms
    Scientific Computing
    Optimization Techniques
    Data Visualization
    Matrix Computations
    Scholastic Models
    Experimentation, Evaluation and Project Deployment Tools
    Predictive Analytics and Segmentation using Clustering
    Applied Mathematics and Informatics
    Exploratory Data Analysis
    Business Acumen & Artificial Intelligence

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