Course Review – Machine Learning with Python by DataMites
The programme takes a focused approach on providing training in Machine Learning through Python. The course emphasizes hands-on learning and building a strong foundation in Python. The programme offers experiential learning, which implies that this curriculum is fabricated to transform candidates into business-ready analytics professionals. The programme starts with building a base on Machine learning and Python and then moves on to more hands-on activities such as playing with real industry data to solve complex case studies and get hands-on experience on how data-backed decision-making works at an enterprise level.
Highlights
URL | https://datamites.com/python-training/machine-learning-with-python/ |
Mode of Learning | Online and Classroom |
Duration | 5 Months |
Fee | Rs, 48000/- |
Key Features
The Machine Learning with Python programme covers 350 hours of overall learning and 100+ hours of online learning along with case studies and a comprehensive client project. The capstone project encompasses a large-scale range of skills to accentuate applied learning. The certification is accredited with IABAC and also offers placement services along with other value-added support services. The most unique feature is that the students can choose their mode of learning from three options. Online, a blend of offline and online, and complete classroom-based learning. The prices for each option vary, however, the content remains the same. This offers a lot of flexibility to students to pick from an option that they seem fit.
Content coverage: The course would cover all major aspects of implementing ML with Python. It covers concepts like data selection, filtration, structures and conditional statement, algorithms along with a deep learningi offers three choices for students to pick from:
Completely online learning costing Rs.22,900/-
Blended Learning costs and an extra Rs.1290/-
Classroom Learning costs Rs. 37900/-
Target Audience: The programme focuses on entry-level professionals and mid-level professionals who aspire to build a career in Python and Machine Learning.
Learning support: The programme covers placement services along with support on internships. However, the program lacks an online platform for peer learning or industry expert interaction.
Price Aid: The students can pick any one of the learning modes and their pricing options and candidates can avail 0 interemest EMI options from numerous organizations.
College pedigree: The programme is not backed by a university or college. However, Datamites holds a reputation for quality education through applied learning and industry-relevant case studies.
Also read
What makes the course unique
The programme is designed to provide flexibility in learning and a focused approach toward Machine Learning. The programme is covered in five months with 100+ hours of direct online webinar learning and 20 detailed case studies which makes this programme stand out in terms of hands-on learning. The project also covers a client project which makes students industry ready with skills that are relevant and could be directly put to use while solving enterprise-level problems. The programme covers the basics as well as advanced concepts which makes it an idea for beginners as well as mid-level professionals.
Course Offering
The following points cover the chief offerings by the certification.
The course is supported by one year of live mentoring and self-learning
The 20 capstone projects and a client project make hands-on learning easy. The students get to put their skills to use.
The 3 different modes of learning offer the flexibility of learning.
The programme targets two major skills that are complementary i.e. Python programming and Machine learning. This helps to build a strong learning base for a career in statistics and Machine Learning.
Key discussion points
Value Addition: Flexible learning options, building a foundation on Python, comprehensive client projects, and internship support.
Points to debate: The programme does not offer any fully funded scholarship options. However, one might pick from a range of 0 EMI third-party providers. The programme is also not backed by a college or university.
Career Options
ML Analyst: Machine Learning analysts are responsible for developing end-to-end solutions that are backed by data and are aimed at developing business intelligence. Analysts must be able to understand the right type of data and should be able to leverage multiple algorithms to solve organizational-level problems. They also understand and advise on the entire data warehousing activities, to be actively involved in any data-backed enterprise change.
Machine Learning Consultant: A ML consultant is responsible to understand the entire data strategy so that data remains standardized across the enterprise and can be readily used in multiple use cases. The main objective of their work profile is to enable data-backed machine leanrning use cases to solve complex problems. They understand the domain and the data touchpoints to actively leverage algorithms and discover patterns or work on business cases such as forecasting and inventory management.
AI consultant: Artificial intelligence is a vast field and one might argue that it comprises or overlaps with multiple technologies such as statistics, Deep Learning, Machine Learning, and analytics. These strategies come together to form an integrated solution. An AI consultant works on such solutions to develop enterprise-level services that are scalable and can be replicated at other touchpoints.
Student Also Liked