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  3. Data Science & Machine Learning - Developer Certification

Data Science & Machine Learning - Developer Certification

The Data Science & Machine Learning Developer Certification program provides a comprehensive set of knowledge and skills in data science, machine learning, and deep learning.

Mark Kerzner
Mark Kerzner
Data Science | advanced | 3 hours |   Published: Nov 2019

    Discussions

Overview

2.3KSTUDENTS*
96.3%RECOMMEND*

This course includes:

  • 3 Hours Expert-led Instruction
  • Extensive Use-Case Examples
  • 24/7 Instructor Forums
  • Comprehensive Final Exam
  • Course Completion Certificate
  • Online Alumni Community
  • Online Chat Support / Mentoring

 

The Data Science & Machine Learning Developer Certification program provides a comprehensive set of knowledge and skills in data science, machine learning, and deep learning.  This immersive training curriculum covers all the key technologies, techniques, principles and practices you need to play a key role on your data science development team, and to distinguish yourself professionally. Beginning with foundational principles and concepts used in data science and machine learning, this program moves progressively and rapidly to cover the foundational components at the core of machine learning. The program builds on the foundations and quickly moves into deep learning, along the way teaching you via lectures and interactive online labs.The training uses open-source tools — along with your developing judgment and intuition — to address actual business needs and real-world challenges. This program also covers the significant development of deep learning methods that enable state-of-the-art performance for many tasks, including image classification, time series (such as audio) classification and natural language processing. In this program, delegates gain hands-on deep learning experience. Delegates will learn by hands-on labs working tools including Python, Scikit-Learn, Keras, and Tensorflow.  

Skills You Will Gain

Datascience
Keras
Python
Scikit-Learn
Tensorflow

Learning Outcomes (At the end of this program you will be able to)

  • Develop solutions to real-world machine learning problems
  • Explain and discuss the essential concepts of machine learning and in particular deep learning
  • Implement supervised and unsupervised learning models for tasks such as forecasting, predicting and outlier detection
  • Apply and use advanced machine learning applications, including recommendation systems and natural language processing
  • Evaluate and apply deep learning concepts and software applications
  • Identify, source and prepare raw data for analysis and modelling
  • Work with open source tools such as Python, Scikit-learn, Keras and Tensorflow

Prerequisites

  • Exposure to coding (Python is helpful but not an absolute must)
  • Exposure to math or, at the very least, no aversion (linear algebra helpful but not required)

Who Should Attend

  • Developers aspiring to be a data scientist or machine learning engineer
  • Developers seeking to understand machine and deep learning to be more valuable in their role interfacing with data scientists
  • Analytics managers who are leading a team of analysts
  • Business analysts who want to understand data science techniques
  • Information architects who need expertise in machine learning algorithms
  • Analytics professionals who work in machine learning or artificial intelligence
  • Graduates looking to build a career in data science and machine learning

Curriculum

Instructors

Frequently Asked Questions

How much do the courses at Starweaver cost?

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

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Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
Mark Kerzner

Mark Kerzner

Mark Kerzner is a hands-on software architect, writer, consultant His expertise include Spark, Hadoop, MapReduce, MapR, Hive, Pig, Sqoop, Flume, HBase, Cassandra, high-performance multi-threaded applications, data mining, text analytics, mathematical optimization, linear and dynamic programming, and visualization (Tableau), among other things.A data scientist and an instructor who has delivered courses throughout the globe in data science.
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