Data Science & Machine Learning Bootcamp
At Avyaa Solutions, we understand the journey of Indian students in the US. You’ve invested years in your Bachelor’s or Master’s degree, but the biggest hurdle is turning that education into a real job opportunity.
That’s why we created the Data Science & Machine Learning Bootcamp, a 3-month career accelerator program that combines hands-on training with job placement support. While you sharpen your skills with industry-ready projects, our consultancy team works in parallel to connect you with recruiters, prepare you for interviews, and guide you toward your first job in the US.
Program Highlights
3 Months, Job-Focused Learning: Structured curriculum covering Python, Data Science workflows, Machine Learning, Deep Learning, and NLP.
Hands-On Projects: Build portfolio-worthy projects (spam email classifier, predictive models, image recognition) to showcase your skills.
Industry Mentorship: Learn the tools US employers use every day, including Pandas, scikit-learn, TensorFlow, Keras, and Seaborn.
Outcome-Driven Approach: By the end of the program, you’ll not only be trained, you’ll be job-ready with a portfolio and active job opportunities.
Who This Program is For
Indian students in the US who have recently completed their Bachelor’s or Master’s degree.
Graduates seeking their first break in Data Science, Machine Learning, or Analytics roles.
Job seekers who want more than a certificate, they want employment outcomes.
What You’ll Walk Away With
A portfolio of projects to demonstrate your skills to employers.
Confidence to ace interviews, backed by technical depth and practical projects.
Direct job support from Avyaa Solutions' consultancy team, helping you navigate applications, recruiter calls, and hiring processes.
At Avyaa Solutions, our mission is simple: we don’t just train you, we help you get hired.
The Data Science & Machine Learning Bootcamp is your fast-track path from fresh graduate to job-ready professional in just 12 weeks.
Responsible | Sujal Avyaa |
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Last Update | 14/09/2025 |
Completion Time | 11 hours 20 minutes |
Members | 2 |
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Introduction1Lessons · 5 mins
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Introduction to Machine LearningNew
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Python Programming for Data Science & Machine Learning2Lessons · 13 mins
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Installing Anaconda for Windows UsersNew
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Installing Anaconda for Mac UsersNew
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12 Rules to Learn to Code1Lessons · 2 hrs 55 mins
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12 Rules to Learn to CodeNew
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Python Basics4Lessons · 1 hr 19 mins
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Variables & TypesNew
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List & ArraysNew
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Dataframes & SeriesNew
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Module ImportsNew
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Python Functions3Lessons · 39 mins
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Defining & Calling FunctionsNew
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Arguments & ParametersNew
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Results & Return ValuesNew
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Data Analysis4Lessons · 1 hr 23 mins
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Attributes & MethodsNew
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Python Documentation for Data AnalysisNew
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Working with Python ObjectsNew
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Python Tips, Code StyleNew
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Intro to Optimisation & the Gradient Descent Algorithm15Lessons · 4 hrs 35 mins
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What's Coming Up?New
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How a Machine Learns?New
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Introduction to Cost FunctionsNew
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LaTeX Markdown and Generating DataNew
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Creating Charts with SubplotsNew
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Loops and the Gradient Descent AlgorithmNew
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Pitfalls of Optimisation - 1New
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Pitfalls of Optimisation - 2New
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Understanding the Learning RateNew
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How to Create 3D ChartsNew
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How to Use SymPyNew
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Implementation of Batch Gradient DescentNew
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Loops & Performance ConsiderationNew
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Reshaping & SlicingNew
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NumPy ArraysNew
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Mean Squared Error (MSE)1Lessons · 11 mins
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Introduction to MSENew
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