Data Science - Machine Learning & AI Data Science – Machine Learning & AI Course In Pune Syllabus DATA SCIENCE SYLLABUS WHAT YOU WILL LEARN IN DATA SCIENCE Data Science Mathematics – Revising School Level Math Python and R Programming Languages Python Data Science Libraries R Programming Data Science Libraries Data Science Techniques Basic Of Artificial Intelligence Machine Learning Data Visualization Tools Big Data and Hadoop DATA SCIENCE INTRODUCTION – MODULE I Data Science and It’s Concepts Scope Of Data Science Data Science Business and Business Intelligence (BI) Use Cases Data Science Field Discussions Data Science Artificial Intelligence (AI) and AI Subset Machine Learning (ML) and ML Subset Deep Learning (DL) Involvements Analytics – Introduction Understanding Data, Types Of Data Understanding Dataset – Structured, Unstructured and Semi Structured DATA SCIENCE MATHEMATICS – MODULE II Revising School Level Mathematics For Data Science Statistics and Probabilities Statistics – Descriptive Statistics Statistics – Inferential Statistics Statistics – Hypothesis and Hypothesis Testing Linear Algebra Linear Algebra – Matrix Introductions Linear Algebra – Matrix Types and Practical Example Linear Algebra – Matrix Arithmetic Operations Linear Algebra – Scalar and Vector Calculus Calculus – Limit Calculus – Differentials Calculus: Derivatives Calculus – Integral Calculus: Integrations DATA SCIENCE PROGRAMMING LANGUAGES – MODULE III Python Programming Language Python – Introduction Python – Setup and Interpreter Python – Keywords, Statements and Statements Syntax Python – Variables, Literals, Data Types and Data Structure Python – Operators Python – Functions Python – Input and Output (IO) Python – Errors and Exceptions Python – Modules Python – classes Python – Threading and Multi-threading Python – Batteries Python – Package Management Tools: pip and conda Python – Virtual Environments R Programming Language R – Introduction R – Setup and R Studio R – Objects R – Evaluations Of Expressions R – Functions R – Object Oriented Programming (OOP) R – Computing on The Language R – System and foreign language interfaces R – Exception Handling R – Debugging R – Parsers R – Data Science Libraries: Dplyr, Ggplot2, mlr etc. R – Data imports & exports DATABASES Structure Query Language (SQL) SQL – Introduction SQL – Data Definition Language(DDL) SQL – DDL Operations – create tables or views, alter tables or views etc. SQL – Data Manipulation Language(DML) SQL – DML Operations – insert, update and delete etc. SQL – Select SQL – Constraints SQL – Normalizations SQL – Joins and indexes VISUALIZATION TOOLS Tableau Plotly MACHINE LEARNING (ML) – MODULE IV What is Machine Learning (ML)? Introducing Supervised ML Introducing Unsupervised ML Introducing Reinforcement Or Semi Supervised ML Supervised ML Algorithms (Regression and Classification) Unsupervised ML Algorithms (Association and Clustering) Reinforcement ML Algorithms Python Machine Learning R Programming Machine Learning BIG DATA and HADOOP – MODULE V Basic Core Java Language Conceptual Guide Big Data Introduction Big Data Characteristics Hadoop Introduction Hadoop Setup and Configurations Hadoop Modules Introduction Hadoop HDFS Hadoop MapReduce Hadoop Yarn/MapReduce Version 2
Data Science – Machine Learning & AI Course In Pune
WHAT YOU WILL LEARN IN DATA SCIENCE
DATA SCIENCE INTRODUCTION – MODULE I
DATA SCIENCE MATHEMATICS – MODULE II
DATA SCIENCE PROGRAMMING LANGUAGES – MODULE III
Python Programming Language
R Programming Language
DATABASES
VISUALIZATION TOOLS
MACHINE LEARNING (ML) – MODULE IV
BIG DATA and HADOOP – MODULE V
About Us We Are Leading SAP training institute in Pune. Our main focus with SAP training, in addition to it training programmers are conducted in various other fields. It has been founded in 2000 with the mission of becoming inter... Read More
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