{"id":1981,"date":"2022-12-01T07:40:23","date_gmt":"2022-12-01T07:40:23","guid":{"rendered":"https:\/\/pickl.ai\/blog\/?p=1981"},"modified":"2024-08-22T06:53:14","modified_gmt":"2024-08-22T06:53:14","slug":"data-science-course-syllabus-beginners-course-curriculum","status":"publish","type":"post","link":"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/","title":{"rendered":"Data Science Course Syllabus Beginners \u2013 Course Curriculum"},"content":{"rendered":"<p><b>Summary : <\/b><span style=\"font-weight: 400;\">Curious about Data Science? This beginner syllabus is your roadmap to success. Master the fundamentals: programming (Python is common), data wrangling, visualisation, and statistics. Explore foundational machine learning concepts. Gain the tools to clean, analyse, and interpret data, preparing you for further Data Science exploration.<\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Introduction\" >Introduction<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#What_is_a_Data_Science_Course\" >What is a Data Science Course?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Data_Science_Syllabus-_Overview\" >Data Science Syllabus- Overview\u00a0<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Big_Data\" >Big Data<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Machine_Learning\" >Machine Learning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Artificial_Intelligence\" >Artificial Intelligence<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Modelling_Process_in_Data_Science\" >Modelling Process in Data Science<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Data_Science_Subjects\" >Data Science Subjects<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Data_Science_Syllabus_IIT\" >Data Science Syllabus IIT<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#BTech_Data_Science_Syllabus_IIT\" >BTech Data Science Syllabus IIT<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#MTech_Data_Science_Syllabus_IIT\" >MTech Data Science Syllabus IIT<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#BSc_Data_Science_Syllabus\" >BSc Data Science Syllabus<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Is_Coding_Important_in_Data_Science\" >Is Coding Important in Data Science?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Skills_Required_to_Become_a_Successful_Data_Scientist\" >Skills Required to Become a Successful Data Scientist\u00a0<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Technical_Skills\" >Technical Skills\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Non-Technical\" >Non-Technical\u00a0<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Wrapping_it_Up\" >Wrapping it Up!!!<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Frequently_Asked_Questions\" >Frequently Asked Questions<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#What_are_the_Eligibility_Criteria_for_Pursuing_Data_Science\" >What are the Eligibility Criteria for Pursuing Data Science?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Is_Maths_Required_for_Data_Science\" >Is Maths Required for Data Science?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Does_Data_Science_Require_Coding\" >Does Data Science Require Coding?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#What_is_the_Salary_of_a_Data_Scientist_in_India\" >What is the Salary of a Data Scientist in India?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/www.pickl.ai\/blog\/data-science-course-syllabus-beginners-course-curriculum\/#Who_Can_Do_a_Data_Science_Course\" >Who Can Do a Data Science Course?\u00a0<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"Introduction\"><\/span><b>Introduction<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Data Science is the practice of using data to understand and analyse problems. It is a rapidly growing field, and there are many opportunities in the industry. It is a multidisciplinary field of study and includes concepts from computer science, statistics, and Machine Learning.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This course will teach you how to apply these concepts to solve problems and understand patterns in large data sets. By the end of the course, you will be able to develop mathematical models to predict outcomes, recognize patterns and trends, and make data-driven decisions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this blog, we will outline the components of the Data Science syllabus and some of the important subjects that are covered within the course. The following sections would discuss the various courses, subjects, and books that you might pursue to <\/span><a href=\"https:\/\/pickl.ai\/blog\/how-to-become-a-data-scientist-in-2023\/\"><span style=\"font-weight: 400;\">become a Data Scientist<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2 id=\"what-is-a-data-science-course\"><span class=\"ez-toc-section\" id=\"What_is_a_Data_Science_Course\"><\/span><b>What is a Data Science Course?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h2 id=\"\"><b><img fetchpriority=\"high\" decoding=\"async\" class=\"radius-5 aligncenter wp-image-10761 size-full\" src=\"https:\/\/pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image3.jpg\" alt=\"data science course syllabus\" width=\"1000\" height=\"333\" srcset=\"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image3.jpg 1000w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image3-300x100.jpg 300w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image3-768x256.jpg 768w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image3-110x37.jpg 110w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image3-200x67.jpg 200w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image3-380x127.jpg 380w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image3-255x85.jpg 255w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image3-550x183.jpg 550w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image3-800x266.jpg 800w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image3-150x50.jpg 150w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The field of Data Science has been on the rise for many years now and its growing popularity has led to an increase in the number of institutes offering Data Science courses in India and abroad.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This course is a combination of several different subjects such as computer science, mathematics, and statistics. These subjects are used to analyse and make sense of large volumes of data in order to achieve higher efficiency and improve business processes.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A thorough knowledge of all the related subjects is essential for anyone interested in pursuing a career in this field. The <\/span><a href=\"https:\/\/www.pickl.ai\/\"><span style=\"font-weight: 400;\">Data Science Course <\/span><\/a><span style=\"font-weight: 400;\">includes an amalgamation of:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Computer science\u00a0\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data Analysis<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Statistics\u00a0\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Visualisation skills<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Computer programming skills and\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Database management techniques.\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The objective of this course is to provide students with the necessary skills to analyse Big Data and look for solutions to critical business problems using advanced analytical methods.<\/span><\/p>\n<h2 id=\"data-science-syllabus-overview\"><span class=\"ez-toc-section\" id=\"Data_Science_Syllabus-_Overview\"><\/span><b>Data Science Syllabus- Overview\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The Data Science course syllabus covers a wide range of topics that are mainly focused on three main components.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Based on the Data Science Courses provided by Pickl.AI, includes a Data Science course syllabus for beginners, a mid-level Data Science course, and a Data Science course syllabus for professionals. The overview of the Data Science course syllabus can be stated as follows:\u00a0<\/span><\/p>\n<h3 id=\"big-data\"><span class=\"ez-toc-section\" id=\"Big_Data\"><\/span><b>Big Data<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><a href=\"https:\/\/pickl.ai\/blog\/introduction-to-big-data-importance-types-and-benefits\/\"><span style=\"font-weight: 400;\">Big Data<\/span><\/a><span style=\"font-weight: 400;\"> is a collection of data that has become so large and complex that traditional data processing applications are inadequate for processing the data in a manageable fashion. Examples of Big Data include website logs, social media data, streaming data from sensors, mobile application data, and so on.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this course, you will learn about different tools and techniques that can be used to process and analyse these datasets and uncover valuable insights from them. You will also learn about different challenges related to processing and analysing these huge datasets and learn ways to overcome them.<\/span><\/p>\n<h3 id=\"machine-learning\"><span class=\"ez-toc-section\" id=\"Machine_Learning\"><\/span><b>Machine Learning<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><a href=\"https:\/\/pickl.ai\/blog\/what-is-machine-learning\/\"><span style=\"font-weight: 400;\">Machine Learning<\/span><\/a><span style=\"font-weight: 400;\"> is a field of study that focuses on the development of computer algorithms that allow computer systems to learn for themselves without explicitly being programmed. Some of the areas covered in this course include:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Supervised learning\u00a0\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Unsupervised learning,\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Clustering,<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Classification\u00a0\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Recommendation systems, and so on.\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">You will learn about how these techniques can be used to tackle real-world problems in industries such as finance, healthcare, e-commerce, and other fields. The course will also cover related topics such as deep learning and reinforcement learning.<\/span><\/p>\n<h3 id=\"artificial-intelligence\"><span class=\"ez-toc-section\" id=\"Artificial_Intelligence\"><\/span><b>Artificial Intelligence<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Artificial Intelligence (AI) refers to the ability of machines to perform tasks that normally require human intelligence, such as speech recognition, image recognition, decision-making, and language translation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this course, you will learn about the major concepts underlying AI as well as the various techniques that can be used to build intelligent systems and solve problems in a variety of applications. The course will also cover topics like natural language processing, Machine Learning, and computer vision.<\/span><\/p>\n<h3 id=\"modelling-process-in-data-science\"><span class=\"ez-toc-section\" id=\"Modelling_Process_in_Data_Science\"><\/span><b>Modelling Process in Data Science<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The <\/span><a href=\"https:\/\/pickl.ai\/blog\/what-is-data-modeling-definition-importance-and-types\/\"><span style=\"font-weight: 400;\">process of modelling<\/span><\/a><span style=\"font-weight: 400;\"> involves specifying the intended characteristics of a data set, devising a plausible model to explain the characteristics of the data, and evaluating the performance of the model using various metrics such as accuracy, precision, recall, and so on.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As a part of this course, you will learn various modelling techniques such as linear regression, logistic regression, decision trees, clustering, etc. You will also learn various techniques for comparing the performance of different models and evaluating their performance using metrics such as AUC, F1 score, precision-recall curve, RMSE, and others.<\/span><\/p>\n<h2 id=\"data-science-subjects\"><span class=\"ez-toc-section\" id=\"Data_Science_Subjects\"><\/span><b>Data Science Subjects<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h2 id=\"-2\"><b><img decoding=\"async\" class=\"radius-5 aligncenter wp-image-10760 size-full\" src=\"https:\/\/pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image2-2.jpg\" alt=\"data science course syllabus\" width=\"1000\" height=\"333\" srcset=\"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image2-2.jpg 1000w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image2-2-300x100.jpg 300w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image2-2-768x256.jpg 768w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image2-2-110x37.jpg 110w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image2-2-200x67.jpg 200w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image2-2-380x127.jpg 380w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image2-2-255x85.jpg 255w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image2-2-550x183.jpg 550w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image2-2-800x266.jpg 800w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2022\/12\/image2-2-150x50.jpg 150w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/> <\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Following are the various Data Science subjects that you would find in the different Data Science courses that you might undertake. These subjects are important for every student who wants to become a Data Scientist including all the theoretical and practical evaluations:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data Mindset<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Programming<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Machine Learning<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Python<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data Structures<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data Mining<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data Visualisation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Statistics<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Linear Regression<\/span><\/li>\n<\/ul>\n<h2 id=\"data-science-syllabus-iit\"><span class=\"ez-toc-section\" id=\"Data_Science_Syllabus_IIT\"><\/span><b>Data Science Syllabus IIT<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">IITs offer Data Science courses at the undergraduate level and also have several certificate programs for those who are interested in pursuing a career in this field but do not have the time to pursue a full-time degree.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It also has Master\u2019s degree-level courses offered by various departments, including the Department of Computer Science &amp; Engineering and the Centre for Artificial Intelligence &amp; Robotics.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Students who have completed their Bachelor\u2019s degree in Science or Engineering can also enrol in the Advanced Professional Program in Data Science offered by the Department of Computer Science &amp; Engineering. The Data Science Syllabus IIT includes the following:<\/span><\/p>\n<h3 id=\"btech-data-science-syllabus-iit\"><span class=\"ez-toc-section\" id=\"BTech_Data_Science_Syllabus_IIT\"><\/span><b>BTech Data Science Syllabus IIT<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">IIT&#8217;s BTech Data Science syllabus offers a rigorous program. Expect courses in statistics, machine learning, databases, and algorithms alongside core computer science subjects. You&#8217;ll gain hands-on experience through labs and tackle real-world data analysis challenges.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data Handling and Visualization<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data Structures and Algorithms<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Principles of Electrical and Electronics Engineering<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">CAD Design<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Engineering Physics<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Engineering Chemistry<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Python and applications of programming<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data Structures Using C<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Applied Statistical Analysis<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Computer Networks<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Software Engineering and Testing Methodologies<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data Mining<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Introduction to Statistical Learning for Data Science<\/span><\/li>\n<\/ul>\n<h3 id=\"mtech-data-science-syllabus-iit\"><span class=\"ez-toc-section\" id=\"MTech_Data_Science_Syllabus_IIT\"><\/span><b>MTech Data Science Syllabus IIT<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">IT&#8217;s MTech Data Science dives deep! Expect courses in machine learning, statistics, data wrangling, and databases. You&#8217;ll also tackle electives to specialize in areas like big data or deep learning.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Statistical Foundations for Data Science<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data Structures &amp; Algorithms<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Python Programming\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Machine Learning\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Stochastic Models<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Machine Learning<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Scientific Computing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Optimization Techniques<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Matrix Computations<\/span><\/li>\n<\/ul>\n<h3 id=\"bsc-data-science-syllabus\"><span class=\"ez-toc-section\" id=\"BSc_Data_Science_Syllabus\"><\/span><b>BSc Data Science Syllabus<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The BSc Data Science syllabus includes all the core concepts and principles of Data Science that you would study during your three-year bachelor\u2019s degree program. Different areas of specialization are available that you might pursue as part of your course. The BSc. Data Science Syllabus includes the following:<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\"> \u00a0 <\/span> <span style=\"font-weight: 400;\">Introduction to Artificial Intelligence<\/span><\/li>\n<li><span style=\"font-weight: 400;\"> \u00a0 <\/span> <span style=\"font-weight: 400;\">Cloud Computing<\/span><\/li>\n<li><span style=\"font-weight: 400;\"> \u00a0 <\/span> <span style=\"font-weight: 400;\">Machine Learning<\/span><\/li>\n<li><span style=\"font-weight: 400;\"> \u00a0 <\/span> <span style=\"font-weight: 400;\">Operating Systems<\/span><\/li>\n<li><span style=\"font-weight: 400;\"> \u00a0 <\/span> <span style=\"font-weight: 400;\">Probability and Inferential Statistics<\/span><\/li>\n<li><span style=\"font-weight: 400;\"> \u00a0 <\/span> <span style=\"font-weight: 400;\">Discrete Mathematics<\/span><\/li>\n<li><span style=\"font-weight: 400;\"> \u00a0 <\/span> <span style=\"font-weight: 400;\">Data Warehousing and Multidimensional Modelling<\/span><\/li>\n<li><span style=\"font-weight: 400;\"> \u00a0 <\/span> <span style=\"font-weight: 400;\">Object-Oriented Programming in Java Machine Learning<\/span><\/li>\n<li><span style=\"font-weight: 400;\"> \u00a0 <\/span> <span style=\"font-weight: 400;\">Operations Research and Optimization Techniques<\/span><\/li>\n<li><span style=\"font-weight: 400;\"> \u00a0 <\/span> <span style=\"font-weight: 400;\">Data Structures and Program Design in C<\/span><\/li>\n<li><span style=\"font-weight: 400;\"> \u00a0 <\/span> <span style=\"font-weight: 400;\">Basic Statistics<\/span><\/li>\n<\/ul>\n<h2 id=\"is-coding-important-in-data-science\"><span class=\"ez-toc-section\" id=\"Is_Coding_Important_in_Data_Science\"><\/span><b>Is Coding Important in Data Science?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Coding skills are required in almost every career in the tech industry, which is one reason why every software engineer should learn to code. This is true in the Data Science field as well. To make the most of data and make accurate predictions, Data Scientists need to understand the theory behind programming.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">They also need to be able to translate that theory into real computer code. For these reasons, learning to code is an important part of Data Science education.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Many schools offer courses in computer programming, which is a great way to learn the fundamentals. There are also a number of coding boot camps that offer intensive courses for people looking to learn on the job.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Once you have some basic coding skills under your belt, you can move on to more complex <\/span><a href=\"https:\/\/pickl.ai\/blog\/gigantic-python\/\"><span style=\"font-weight: 400;\">programming languages like Python<\/span><\/a><span style=\"font-weight: 400;\"> and R to build models that analyse data and make predictions. Although you don\u2019t need to know how to code to be a successful Data Scientist, learning to code will give you an advantage over other applicants and help you land the job of your dreams.<\/span><\/p>\n<h2 id=\"skills-required-to-become-a-successful-data-scientist\"><span class=\"ez-toc-section\" id=\"Skills_Required_to_Become_a_Successful_Data_Scientist\"><\/span><b>Skills Required to Become a Successful Data Scientist\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">With the right skills, you will be able to become a proficient Data Scientist and utilizing the skills to gain experience will embark you on a successful journey as a Data Scientist. There are two types of skills required to become a successful Data Scientist. It includes Technical Skills and Non-Technical Skills. The skills can be explained as follows:\u00a0<\/span><\/p>\n<h3 id=\"technical-skills\"><span class=\"ez-toc-section\" id=\"Technical_Skills\"><\/span><b>Technical Skills\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Statistical Analysis\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Machine Learning\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Deep Learning\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Programming\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Mathematics\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data Visualisation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Statistics\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Big Data<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Processing Datasets\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data Wrangling\u00a0<\/span><\/li>\n<\/ul>\n<h3 id=\"non-technical\"><span class=\"ez-toc-section\" id=\"Non-Technical\"><\/span><b>Non-Technical\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Strong Business Knowledge\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Communication\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Team Work\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Problem-Solving<\/span><\/li>\n<\/ul>\n<h2 id=\"wrapping-it-up\"><span class=\"ez-toc-section\" id=\"Wrapping_it_Up\"><\/span><b>Wrapping it Up!!!<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The Data Science curriculum equips you with the skills to extract knowledge and insights from ever-growing data. By the program&#8217;s end, you&#8217;ll be able to wrangle messy data, craft informative visualizations, and build effective Machine Learning models. This newfound expertise will position you to make data-driven decisions and solve complex problems across various industries.<\/span><\/p>\n<h2 id=\"frequently-asked-questions\"><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span><b>Frequently Asked Questions<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"what-are-the-eligibility-criteria-for-pursuing-data-science\"><span class=\"ez-toc-section\" id=\"What_are_the_Eligibility_Criteria_for_Pursuing_Data_Science\"><\/span><b>What are the Eligibility Criteria for Pursuing Data Science?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">For admission to a BSc, you must have at least 50% marks in BSc or equivalent from any recognized board 60% of aggregate in the graduation from a university or institute recognized by UGC\/AICTE.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For admission to the Mtech program, you should have an M.SC degree in Physics\/Applied Physics with at least 60% marks from a recognized University(or) M Tech degree in Electronics with not less than 55% marks from any recognized University.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Note: The eligibility criteria may vary from one institute to another<\/span><\/p>\n<h3 id=\"is-maths-required-for-data-science\"><span class=\"ez-toc-section\" id=\"Is_Maths_Required_for_Data_Science\"><\/span><b>Is Maths Required for Data Science?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Yes, Math is required for Data Science. In order to work with data effectively, you must be able to analyze it mathematically and use it to make reliable predictions.<\/span><\/p>\n<h3 id=\"does-data-science-require-coding\"><span class=\"ez-toc-section\" id=\"Does_Data_Science_Require_Coding\"><\/span><b>Does Data Science Require Coding?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Yes, every course in Data Science requires coding knowledge. However, if you are not well-versed in coding, you can enrol in the Data Science Foundation course (beginners) or an exclusive Python programming course that will make your learning easy.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Knowledge of different programming languages, such as Java, Python, and SQL is required for students to become successful Data Scientists.<\/span><\/p>\n<h3 id=\"what-is-the-salary-of-a-data-scientist-in-india\"><span class=\"ez-toc-section\" id=\"What_is_the_Salary_of_a_Data_Scientist_in_India\"><\/span><b>What is the Salary of a Data Scientist in India?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">In India, an average Data Scientist earns around \u20b910 Lakhs annually, which ranges between \u20b93.6 Lakhs to \u20b925.6 Lakhs. The basis of the salary range depends on the candidate&#8217;s experience level, skill set, and proficiency in using different tools.<\/span><\/p>\n<h3 id=\"who-can-do-a-data-science-course\"><span class=\"ez-toc-section\" id=\"Who_Can_Do_a_Data_Science_Course\"><\/span><b>Who Can Do a Data Science Course?\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Whether you\u2019re a Teenager, Graduate, or Working Professional, you can pursue Data Science despite any academic or professional background. You need to have a keen interest in the field and opt for your choice of course. Pickl.AI offers you a myriad of courses for candidates of different age groups, from teenagers to working professionals.\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"Data Science 101: Code, clean, analyse, unlock insights.\n","protected":false},"author":9,"featured_media":10757,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[82,46],"tags":[473,474,476,470,468,465,466,469,467,472,475,471],"ppma_author":[2170,2183],"class_list":["post-1981","post","type-post","status-publish","format-standard","has-post-thumbnail","category-career-path","category-data-science","tag-best-data-science-books","tag-bsc-data-science-syllabus","tag-btech-data-science-syllabus-iit","tag-data-science-course-free","tag-data-science-course-subjects","tag-data-science-course-syllabus-beginners","tag-data-science-course-syllabus-pdf","tag-data-scientist-subjects-needed","tag-fundamentals-of-data-science-syllabus","tag-is-coding-important-in-data-science","tag-mtech-data-science-syllabus-iit","tag-python-for-data-science-course-outline"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Data Science Course Syllabus Beginners - Course Curriculum<\/title>\n<meta name=\"description\" content=\"Looking for Data Science Course Syllabus &amp; Subjects for working professionals? 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