Data Scientist Master's Program Certification

1.250,00 EUR

Blended Learning
Live Virtual Classroom
eLearning

This Data Scientist Master’s Program, in collaboration with IBM, accelerates your career in Data Science and provides you with the world-class training and skills required to become successful in this field. The program offers extensive training on the most in-demand Data Science and Machine Learning skills with hands-on exposure to critical tools and technologies, including Python, R, Tableau, and concepts of Machine Learning. Become an expert in Data Science by diving deep into the nuances of data interpretation, mastering technologies like Machine Learning, and mastering powerful programming skills to take your career in Data Science to the next level. This joint collaboration between AVC and IBM introduces participants to an integrated blended learning approach that turns them into experts in computer science. This computer science course, in collaboration with IBM, will help students get ready for top positions as computer scientists.

Key Features

11 months long live online bootcamp and eLearning (self-paced)

365 days access to self-paced eLearning content

Exclusive Hackathons and Ask-Me-Anything sessions by IBM

25+ industry-relevant projects from the likes of Amazon, Walmart, and Mercedez Benz

Top-notch curriculum with integrated labs

Obtain industry-recognized IBM certificates for IBM courses

Live online Masterclasses delivered by IBM experts.

8x higher live interaction in live online classes by industry experts.

You will receive individual certificates for each course.

Learning Outcomes

At the end of this Data Scientist Master´s Program eLearning Course, you will be able to:

Data Structure - and manipulation

Gain an in-depth understanding of data structure and data manipulation.

Regression models

Understand and use linear and non-linear regression models and classification techniques for data analysis.

Learning models

Obtain an in-depth understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipelines.

Perform scientific and technical computing

Perform scientific and technical computing using the SciPy package and its sub-packages, such as Integrate, Optimize, Statistics, IO, and Weave.

Mathematical Computing

Gain expertise in mathematical computing using the NumPy and sci-kit-learn packages.

Analyze Data

Learn to analyze data using Tableau and become proficient in building interactive dashboards.

Practical & Principles

Master the concepts of recommendation engines and time series modeling and gain practical mastery over principles, algorithms, and applications of Machine Learning.

Learning Path

  1. Python for Data Science

    1

  2. Data Science with Python

    2

  3. Machine Learning

    3

  4. Tableau Training

    4

  5. Data Science Capstone

    5

  6. SQL Training

    Elective course

  7. Data Science with R

    Elective course

  8. Deep Learning with Keras and TensorFlow

    Elective course

  9. Project 1: Building a User-Based Recommendation Model for Amazon

    Program Projects

  10. Project 2: Comcast Telecom Customer Complaints

    Program Projects

  11. Project 3: Mercedes-Benz Greener Manufacturing

    Program Projects

  12. Project 4: Comparative Study of Countries

    Program Projects

  13. Project 5: Retail Analysis with Walmart

    Program Projects

  14. Project 6: Movie Lens Case Study

    Program Projects

  15. Project 7: Customer Service Requests Analysis

    Program Projects

  16. Project 8: Identifying and Recommending Best Restaurants

    Program Projects

  17. Project 9: Sales Performance Analysis

    Program Projects

  18. Project 10: Predict the Demand for Loans Based on Region

    Program Projects

  19. Project 11: Build Model to Predict Diabetic Patients

    Program Projects

  20. Project 12: Customer Segmentation on Retail Customers

    Program Projects

Who Should Enroll in this Program?

The Data Science role requires an amalgam of experience, Data Science knowledge, and using the correct tools and technologies. It is a solid career choice for both new and experienced professionals. Aspiring professionals of any educational background with an analytical frame of mind are most suited to pursue the Data Scientist Master’s Program.

IT Professionals

Analytics Managers

Business Analysts, Banking and Finance Professionals

Marketing Managers

Supply Chain Network Managers

Beginners or Recent Graduates

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