Shef Solutions Llc |Data Science Bootcamp San Francisco

Data Science Bootcamp San Francisco

Join the Data Science Training/classes in San Francisco

Launch Your Data Engineering Journey with Our Bootcamp in San Francisco! This program, designed by leading data engineers, covers essential topics such as data warehousing, ETL processes, and database management. Gain hands-on experience with the latest tools and technologies to manage and optimize data pipelines. Enroll today and become a data engineering expert!

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Join Data Analytics Course, San Francisco

Accelerate Your Growth with Expert-Level Data Science Training! Our Job-Guarantee Program immerses you in the world of data analytics. Master statistical analysis, machine learning, and data visualization through practical, hands-on projects. Perfect for recent graduates and professionals seeking advancement, this program ensures you’re ready to excel in today’s data-driven landscape.

Job Assurance

Our program comes with a job assurance that offers you a chance to be placed at over 500 top-tier partner organisations hiring machine learning and artificial intelligence professionals.

Dedicated Career Services

Our career services include resume development, profile enhancement, career mentorship, job assurance workshops and one-on-one career counselling to ensure you land the right job.

Real-world Projects

Implement what you’ve learned with over 25 real-world projects and case studies specially formulated by industry experts to make you job-ready.

Job-specific Curriculum

Learn the practical applications of data science, Python, SQL, data analytics, power BI, and tableau while gaining expertise in these subjects.

Live Learning Module

Our expert faculty delivers our robust curriculum using an interactive module and hands-on training methods to prepare you to work in various data science roles.

Data Science Certification

Earn your data science certification and advance your career with comprehensive training. Our certification programs cover essential topics in data analysis, machine learning, and statistical modeling.

About the Program

We are passionate about empowering individuals with the knowledge and skills to thrive in the dynamic field of data science. Whether you’re a beginner taking your first steps into the world of data or a seasoned professional looking to expand your expertise, our comprehensive courses are designed to meet your learning needs and career aspirations.

Key Highlights

Advanced Program in Data Science Course Curriculum

Python for Data Science

Module 01 – Introduction to Data Science using Python
Module 02 – Python basic constructs
Module 03 – Maths for DS-Statistics & Probability
Module 04 – OOPs in Python (Self-paced)
Module 05 – NumPy for mathematical computing
Module 06 – SciPy for scientific computing
Module 07 – Data manipulation
Module 08 – Data visualization with Matplotlib
Module 09 – Machine Learning using Python
Module 10 – Supervised learning
Module 11 – Unsupervised Learning
Module 12 – Python integration with Spark (Self-paced)
Module 13 – Dimensionality Reduction
Module 14 – Time Series Forecasting

Machine Language

Module 01 – Introduction to Machine Learning
Module 02 – Supervised Learning and Linear Regression
Module 03 – Classification and Logistic Regression
Module 04 – Decision Tree and Random Forest
Module 05 – Naïve Bayes and Support Vector Machine (self-paced)
Module 06 – Unsupervised Learning
Module 07 – Natural Language Processing and Text Mining (self-paced)
Module 08 – Introduction to Deep Learning
Module 09 – Time Series Analysis (Self-paced)

AI & Deep Learning

Module 01 – Introduction to Deep Learning and Neural Networks
Module 02 – Multi-layered Neural Networks
Module 03 – Artificial Neural Networks and Various Methods
Module 04 – Deep Learning Libraries
Module 05 – Keras API
Module 06 – TFLearn API for TensorFlow
Module 07 – DNNs (deep neural networks)
Module 08 – CNNs (convolutional neural networks)
Module 09 – RNNs (recurrent neural networks)
Module 10 – Gpu in deep learning
Module 11 – Autoencoders and Restricted Boltzmann Machine (RBM)
Module 12 – Deep learning applications
Module 13 – Chatbots

Tools to Master

Interested in This Program? Secure your spot now.

The application is free and takes only 5 minutes to complete.

What Can I Become?

TESTIMONIALS

What Our Students Have To Say

Our students' thoughts mean the world to us. Whether they're praising our amazing teachers or giving us ideas to improve, their voices are super important. We really listen to them and use their suggestions to make things even better. Their words help us create an awesome learning experience for everyone.

I enjoyed this course very much. It was structured in a way that made it extremely easy to keep up with the instructors. I specially liked the way Linear regression and Calculus was introduced with visual examples and good concept-building. The instructors made the content simple and smooth and I was able to get a good grasp on everything taught.

Vaishali

The quality of the course material was par excellence and I was able to understand and learn the course material very easily and smoothly. The assignments and projects assigned to the students were set at a very appropriate difficulty too.

Darrel Green

The instructors have done a superb job in crafting the content for the course together. I did not have any prior programming experience but I was able to understand everything taught in the course regarding Python and Machine Learning very quickly.

Mark stapay

A very useful course overall. I really enjoyed the journey from Data Science basics like Multivariable Calculus all the way to advanced concepts of Machine Learning. The instructor was excellent and taught the course in a clear, concise, and thorough manner. He answered all my doubts patiently and helped us in a hands-on way with our end-term projects.

Swathish

I feel this is the right time to convey my comments about this course. When I enrolled into the course I was very much excited to learn about data science and equally had a worry that how is it going to work in a virtual environment.

Ramadoss

Machine Learning and I was able to learn more about it successfully because of the wonderful instructors and their quality training materials such as notes, videos, assignments, and projects. The best part was that they responded to all my doubts and questions very quickly.