Advanced Data Science

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About Course

This course is a rigorous, comprehensive, deep and project based course which will introduce you to all of the modern skills of a Data Scientist, Machine Learning and Artificial Intelligence and along the way, we will build many real world projects to add to your portfolio. You will get access to all the code, workbooks and templates (Jupyter Notebooks) on Github, so that you can put them on your portfolio right away! This course will truly help you in solving the biggest challenge - how to enter the field of Data Science, Machine Learning and Artificial Intelligence. You will get access to numerous videos, notebooks, codes, datasets and comprehensive sessions with experienced mentors. Upskill yourself and get the best job in industry! The curriculum and structure is very rigorous, in-depth and a great mix of theory, hands-on and real world case studies. You will start from scratch to finish and will end up becoming a professional Machine Learning and Data Science engineer. If you an experienced programmer, you can dive right in and skip the section where we teach you Python from scratch. If you are completely new to the world of coding, with us you can learn how to code in Python. We are always there to support you - 24x7 on any of the queries and questions. Weekly mentored sessions with the mentor will clear all the doubts and will take you to the real-life and pragmatic business world case studies. You will cover basics of machine learning to advanced topics like Neural Networks, Deep Learning and Transfer Learning. Enroll today!

Master Machine Learning on Python and R
Generate understanding of Machine Learning models
Get understanding of data analysis, data cleaning, pre-processing, exploratory data analysis and generating insights
Make accurate analysis and predictions on the future
Create strong value for your business
Add very strong points to your CV
Use Machine Learning for personal purpose
Master regression analysis, classification, dimensionality reduction, clustering, recommendation sustems, deep learning, text analysis, natural language processing
Learn to assess machine learning models
Know which Machine Learning model to choose for each type of problem
Build an army of powerful Machine Learning models and know how to deploy them in real world and finally how to refresh them

Course Curriculum

Data analysis, data engineering, business intelligence, data science, machine learning and artificial intelligence and path ahead, make a career in data science
Data analysis, data engineering, business intelligence, data science, machine learning and artificial intelligence and path ahead, make a career in data science

Basics of Python, using the common libraries like numpy, pandas, matplotlib, seaborn, and using the datasets, common visualizations

Statistical concepts, hypothesis testing, power analysis, type 1 and type 2 errors, ANOVA

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Free

Free access this course

Level

Expert
Total Enrolled

5
Last Updated

August 22, 2024

If you are interested in Data Science, Machine Learning and Artifiicial Intelligence
If you are a student and wish to make a career in data science
Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
If you are not that confident in coding but are interested in Machine Learning and want to apply it easily on datasets.
If you are not satisfied with your current job and want to switch to become a data scientist
If you are a senior leader and wish to upgrade yourself to machine leanning and artificial intelligence
Any people who want to create added value to their business by using powerful Machine Learning tools.

Why this course?

Data science, machine learning and artificiial intelligence are changing the world. The job prospects are great with fat payments and salaries. We offer to make you ready for that coveted path to success. This course covers theory of machine learning, practial case studies, hands-on coding in Python, best practices and a lot of comprehensive resources. Many courses just stratch the surface, most of them do not clear doubts. The other courses do not offer personal mentored sessions, nor they share real-life business cases studies. And none of the other courses cover the model deployment and maintenance – which we cover in detail. This course is a combinatiion of best of both worlds – theory + coding + personal sessions + model deplloyment + case studies + best practices + interview support. Contact with us today to learn more!