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Data Science Bootcamp
BY
Byte Academy
Dive deep into the concepts of Python, SQL, Mathematics, Machine Learning, Data Visualisation, and more with Byte ...Read more
Full time, Online
14 Weeks
₹ 49999
Inclusive of GST
Quick Facts
| particular | details | |||
|---|---|---|---|---|
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video Based, Text Based
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Course overview
The Data Science Bootcamp certification course offers a personalised applied learning experience for students with AIZA, a personal AI tutor. The comprehensive curriculum delves deep into Python’s basics and advanced concepts. Students also explore SQL, data visualisation, mathematics, machine learning, and more.
The Data Science Bootcamp by Byte Academy also allows students to learn about feed-forward neural networks, recurrent neural networks and convolutional neural networks. Besides, the syllabus devotes an entire section on software theory, covering algorithms, databases, networks, testing, and data management.
Byte Academy’s instructor-led live classes include practical sessions for students to apply the learned concepts by executing programming scripts. The Data Science Bootcamp online course also utilises a recorded flipped-classroom approach to engage students with recorded sessions, exercises, LMS slides, assessments, group code review, doubt-solving sessions, etc.
Moreover, students receive one-on-one instructor support throughout. They also create a team and a solo capstone project in the final phase of the programme.
The highlights
- Online sessions
- In-classroom sessions
- Spryte Sprints
- Career support
- Byte Academy International certificate
- Live instructor-led classroom
- Recorded flipped classroom experience
- LMS slides
- Group code review
- Assessments
- Comprehensive curriculum
- Videos
- Industry-expert trainers
- Doubt solving sessions
- Exercises
- Hands-on project experience
- Software sprints
- Aiza: Personal AI Tutor
Program offerings
- Spryte sprints
- Career support
- Recorded flipped classroom experience
- Live instructor-led classroom
- Lms slides
- Doubt solving sessions
- Software sprints
- Hands-on project experience
- Group code review
- Aiza: personal ai tutor.
Course and certificate fees
Fees information
₹ 49,999 (Inclusive of GST)
Pay the Data Science Bootcamp certificate fee through the following:
If students enrol a month early from the Data Science Bootcamp classes starting date, they get Early Bird Discounts.
Interest-free and collateral or security-free loans, which you can pay over 12 months (one year)
Interest-free instalment schemes where students can pay the fee over 3-6 months
Data Science Bootcamp fee structure
| Course | Fees in INR |
| Data Science Bootcamp | ₹ 49,999 |
certificate availability
Yes
certificate providing authority
Byte Academy
Who it is for
Any candidate interested in pursuing the course can take up the course. Also, those who are working as Data Analyst, Machine learning engineer, Data Scientist, Data Engineer etc and willing to get further skilled in their respective field can opt for the course.
What you will learn
Data science knowledge
Knowledge of python
After you finish Byte Academy’s Data Science Bootcamp syllabus, you will master the following:
- Computer science fundamentals
- Object-Oriented Programming
- Operating Systems and Unix
- Python
- Data structures
- Supervised learning
- Software theory
- Neural networks
- Data science fundamentals
- Unsupervised learning
- Data visualisation
- Machine learning
- SQL
The syllabus
Computer Science Fundamentals
Introduction to Python
- Data Types
- Control Flow
- Functions
- Complexity Theory
Object-Oriented Programming
- Design Considerations
- Classes
- Modules
- Context Managers
- Exceptions
Data Structures
- Recursive Structures
- Linked List
- Tree
- Graph
Software Theory
- Algorithms
- Networks
- Databases
- Testing
- Data Management
Introduction to Data Science
- Intro to Machine Learning
- Math Prerequisites (Calculus, Linear Algebra, Statistics)
- Regression
- Model Analysis
Supervised Learning
- K Nearest Neighbors
- Decision Trees & XGBoost
- Intro to Neural Networks
Neural Networks
- Feed-forward Neural Network
- Convolutional Neural Networks
- Recurrent Neural Networks
Unsupervised Learning
- K-Means Clustering
- Principal Component Analysis
- Autoencoders
Machine Learning Theory
- VC-Dimension
- Reinforcement Learning
3 Final Projects
- Students create 4 capstone projects during the final phase of the program, culminating in a project of your own design
- These projects span a variety of data science skills, to give you real experience and round out your analytical, presentation, and engineering skills
- The final project can be a guided internship, working for two weeks on a project for an actual company instead of your own design
Project Code Review
- Analyze your projects with your instructor and peers to keep improving the quality of your code, and get in-depth feedback about where you need to improve your skills
- Learn to document code as Python’s style guide dictates
- Prepare presentations for your peers on each of your projects to practice communicating technical concepts, and presenting analytical projects to others
Technical Interview Preparation
- Work with your peers to gain mastery of tech interview topics and questions
- Study Data Structures and Algorithms questions to prepare for technical interview questions that focus on coding fundamentals
- Practice other topics as well, including basic SQL questions and short analytical exercises that may also show up in data-relate interviews
4-Week Internship
- Complete a 4-week internship and get your first professional development experience.
- Graduate having worked on a project for a real company, with the confidence to start your career in tech
Admission details
Step 1: The Data Science Bootcamp training page is available at: https://www.byteacademy.co/courses/data-science-bootcamp
Step 2: Review the boot camp details, alumni testimonials, instructor profiles, syllabus, enrolment process, and cohort dates. Choose any preferred cohort (online or offline) and tap on ‘Apply Now.’
Step 3: When you are redirected to the application page, you will see three categories, ‘sign up’, ‘verify,’ and ‘submit.’
Step 4: For those with no Byte Academy account, you can sign up by complying with the on-screen instructions. Those who have a profile can log in with pre-existing login credentials.
Step 5: After starting your new account, you will sit for the counselling process/ admission interview.
Step 6: Now, you must pay a nominal refundable fee to block your seat.
Step 7: Complete and submit financing applications and enrollment forms.
Step 8: Start learning in the boot camp.
Filling the form
The Data Science Bootcamp certification course enrolment requires you to set up a Byte Academy account. Furnish basic details, including your first and last name, email ID, contact information, and how you found out about Byte Academy. Verify your email address by clicking on the verification link sent to your registered mail ID. Provide the activation code received on your registered mobile number.
Now fill in course and campus selection details. Choose where you want to take the Data Science Bootcamp course (offline cohort/online cohort), programme type, starting date, course name, etc.
How it helps
The Data Science Bootcamp course benefits include a Byte Academy International accreditation that highlights your market-ready expertise in Data Science. Besides, after finishing the boot camp, you will be well-versed to work as a data analyst, data scientist, data engineer, data management engineer, machine learning engineer, etc.
Apart from securing a high-paying job, you will become an expert in extracting meaningful patterns from data and applied coding skills to develop robust applications. The immersive Data Science Bootcamp course produces high-quality data scientists who score opportunities to work across industry verticals at start-ups, Fortune 500 companies, SMBs, and more.
Instructors
FAQs
What is the Spryte internship programme?
In the internship, you work on software sprints, develop with a team, and learn to use agile methodologies for project sprints. Byte Academy delivers this internship opportunity collaboratively with Spryte Labs. Learn more about Spryte Labs on the official site.
What is the Data Science Bootcamp programme’s recorded flipped classroom experience duration?
The part-time experience is 14-weeks-long.
Does Byte Academy offer placement support?
Yes, you can access and leverage their career services to jump-start your professional journey.
What are the career opportunities after completing the Data Science Bootcamp certification course?
You can work as a data analyst, machine learning engineer, data scientist, data engineer, and data management engineer.
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