Next Batch Starts
18 Jan, 2023
Program Duration
6 Months
Learning Format
Offline Class
About DS PRO
Data Science Pro (DS PRO) program is designed by industry experts to make learners ready for Data Science and Analytics industry. Learners will work on real-time scenario-based projects, deliver business presentations, understand various domains, quizzes on Python, SQL, Tableau, Excel etc. Capstone projects, Interview preparation and mock interview sessions are integrated part of the program to help learners equip with the skill sets required for cracking interview and working on projects from day one.










What will You learn?
- You will understand the Data Science and Machine Learning Concepts.
- You will get a clear understanding of end-to-end Data Science projects right from requirement understanding to the final delivery
- You will learn different algorithms and work on multiple projects under guidance of a mentor
- You will thoroughly understand the concepts of Analytics and it's implementations
- You will learn how to work on Analytics projects and solve problems
- You will learn end-to-end implementation of Business Intelligence and Data Analytics project
Course Curriculum
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Module 1 - PythonIn this course, you will learn the fundamental concepts of python programming, decision making, loops, user defined functions, lambda functions, etc. You will also learn how to analyze data using python. By the end of this course, you will be proficient with NumPy, SciPy, Pandas, Matplotlib, Sklearn, and more.
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Module 2 - Statistics for Data ScienceCentral tendency, Variability, Standard Deviation, Data Distribution, Hypothesis testing, Correlation, Covariance, Probability Concepts, Joint Probability, Conditional Probability, Regression.
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Module 3 - SQL for AnalyticsYou will learn the query logic development for summarizing and extracting the data from a database system. Some of the key concepts that you will learn in this course are DDL (Data Definition Language), DML (Data Manipulation Language), and Data Query Language to create table, update data in the table and write the query logic to extract the relevant data as per business requirements.
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Module 4 - Business Intelligence | TableauTableau is one of the most powerful business intelligence (BI) tool and used across industry for Data Visualization and Visual Analytics. In this course you learn how to connect to different data sources, data preparation, data visualization, preparing stories, and building an interactive dashboard.
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Module 5 - Data Analytics with ExcelYou learn basic to advance excel concepts used for data cleaning, data preparation, data visualization, and data analysis. You will learn functions to deal with numeric data, text data, and dates. You will learn text functions, mathematics and statistics functions, date functions, logical functions, lookup functions and more.
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Capstone ProjectsYou will work on a total of 6 projects based on real-time problems. You will work on 4 Data Science and Machine Learning projects, 1 Business Intelligence & Analytics project, and 1 Data Analytics project. Upon completion of all these projects you will have a clear understanding of handling Data Science and Analytics projects from your clients.