Course Description
Data Scientists discover trends from the data that can alter the future trajectory of a company; they help decision makers gather and gain insights based on the past. Data Science is becoming mission-critical for businesses and the demand for data scientists has been on a steady upslope. In short, they're the future of business decision-making, and they're desperately in demand. The curriculum is designed by taking inputs from industry and aims to develop skills required to land in Data Science
What you’ll learn?
- The course provides the entire toolbox you need to become a data scientist
- After completion of this course, you'll be able to find answers within large datasets by using python tools with a mastery of skills including statistics, data wrangling, data visualization, feature selection and more.
- Through hands-on exercises, you’ll learn about the different foundational topics of machine
- learning, and how data scientists extract knowledge and insights from real-world data.
Who This Course is for
- It is a solid career choice for both new and experienced professionals.
- College undergraduates who are preparing for upcoming placements
- IT professionals who want to switch careers to Data Scientist roles
- Recent graduates who are looking for their first job
How will your doubts get solved?
You can post your doubts on the Q&A forum which will be answered by the teachers within 24 hours.
Course Content
- Module 1: Review of Python
- Topic 1.1: Input/Output Statements
- Topic 1.2: Variables, Data types, Operators
- Topic 1.3: Control Statements
- Topic 1.4: Functions
- Topic 1.5: Data Structures: Strings, List,Tuple,Set,Dictionary
- Topic 1.6: Functional Programming and Idiomatic approach
- Topic 1.7: Modules, Packages and Core Libraries
- Topic 1.8: OOPS Concept
- Module 2: Python Packages for Data Science Applications
- Module 3: Introduction to Statistics for Data Science
- Topic 3.1: Measures of Central Tendency
- Topic 3.2: Measures of Dispersion
- Topic 3.3: Skewed Distribution
- Topic 3.4: Kurtosis
- Topic 3.5: Normal Distribution Vs Standard Normal Distribution
- Topic 3.6: Outliers
- Topic 3.7: Correlation
- Topic 3.8: Random Variables
- Topic 3.9: Types of Variables
- Topic 3.10: Probability
- Topic 3.11: Conditional Probability
- Module 4: Data Preprocessing
- Module 5: Exploratory Data Analysis
- Module 6: Introduction to Machine Learning
- Topic 6.1: Simple Linear Regression
- Topic 6.2: Multiple Linear Regression
- Topic 6.3: Logistic Regression
- Topic 6.4: K Nearest Neighbors
- Topic 6.5: Naive Bayes
- Topic 6.6: Decision Tree
- Topic 6.7: Ensembling Algorithms
- Topic 6.8: Cluster Analysis
- Topic 6.9: Dimensionality Reduction: PCA
- Topic 6.10: Hyperparameter Optimization
- Module 7: Performance Evaluation of the Models
Anil Kumar
Master Trainer
An experienced trainer with 11+ years of experience having trained more than 25000+ students in various technology courses.
Experienced Information Technology Project Manager with a demonstrated history of working in the information technology and services industry. Skilled in C++, PL/SQL, .NET Framework, Transact-SQL (T-SQL), ASP.NET. and Python. Strong program and project management professional with a Bachelor of Technology - BTech focused in Electrical, Electronics and Communications Engineering from Lord's Institute Of Engineering And Technology.
Score Breakdown
4.6 / 5.0
Score Breakdown
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Average Rating For
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- Assignment0
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- Instructor5.0
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A good start for getting into DS
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better internship DS
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a good platform for
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Good
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good
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they will take care for every student
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they supported a lot
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teaching skills is excellent
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good platform to learn
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Learnt a lot Thank you
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it very usefull for me
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Good
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Good Internship.
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learned a lot thankyou
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I learned lot
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better internship
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learned a lot
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teaching skills was good
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very good
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Perfect internship period.
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Excellent
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good
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Excellent
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Good internship program for students
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Internship was very good and it helped me learn new programming skills...
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good
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Internship was very good and it helped me learn new programming skills...
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It was a good experience and will suggest for other people who are interested in python with particular specification
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Very good
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teaching skills was very excellent
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Good
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Perfect internship period.
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Its very usefull
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teaching was very good
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Very good support
You are not applied for the course..!
1. Can I enroll in this program if I don't have any prior knowledge of programming?
Yes, anyone who is passionate about learning Machine Learning can enroll in this program. We encourage learners from diverse backgrounds. To enable this, we provide support and supervised learning to our learners.
2. What if I miss a live class?
Our Learning Management System assists you in revisiting crucial topics and prep for quizzes and tests.Get access to recorded lectures and revisit them later at your own convenience.Get access to recorded lectures and revisit them later at your own convenience.
3. Will this Data Science course cover Python in detail?
Yes, this course covers Python ? the most popular tool for Data Science and Machine Learning jobs. You will start with Python programming fundamentals and then learn all the Data Science concepts with Python. You will work on multiple Python Data Science projects to learn how data scientists solve real-business problems with Python. You will become a Python expert by the end of the course.
4. How will I learn?
Through rigorous exercises, hands-on in-class practice projects and a personalized project, this program will prepare you to start your career in Data Analytics at A-list firms and startups.
5. Will I be mentored?
Of course! You?re assigned a dedicated program mentor who not only supports you but also guides you on the most suitable career path. Throughout the course, your program mentor will encourage you to finish projects, engage in classes and get the most out of this course.
6. How do you train?
We value hands-on, experiential learning and impart the same using our cutting-edge curriculum and guidance. You get involved in discussions during live lectures, learn applications through rigorous hands-on exercises, and resolve your queries with the faculty. It provides a highly interactive learning environment where you learn from the faculty, mentor, as well as your peers.
7. What study material will be provided to me for the program?
You will get recordings of the lectures to review at your own convenience. You will also have access to student notes, practice projects, additional study material and quizzes on our fully-integrated online learning portal.
8. Is Data Science a good career choice?
A career in Data Science presents well-paying jobs. According to Glassdoor, Data Scientists make an average of $116,100 a year. This makes Data Science a highly lucrative career option for beginners and professionals alike.
- Course Details
- To Be Announced
