Data Science Course in Bangalore
The professional profile of the data scientist is booming,
and, as a result, we have a greater data science
course in Bangalore providers available to us who are creating massive
number job opportunities to the candidates, both for those who seek to
specialize in specific fields with an advanced level and for those who wish to
start in the world of data science.
Availabilities and opportunities are more on data
science course in bangalore for those who require more flexibility in their
training. From the fundamental concepts of autonomous learning (Machine
Learning) to specializations in probabilistic models, the offer of online
training regarding data science is adapted to all levels and needs.
Basic level / beginner
In this first level provides a basic knowledge to get
started in data science. In the first approach you will get to know languages
and tools used, as well as an explanation of concepts such as Deep Learning
or Machine Learning.
·
Specialization in Data Science.
This training program consists of different duration for beginners who want to
start in the world of data science. In this approach aims to bring
together all the basic concepts that guide data science.
·
Deep
Learning Course. This is a set of courses framed in the concept of
Deep Learning, but that covers practically all the concepts of data science
from a basic level, through Machine Learning or NLP. The simplicity of the
explanations is one of the strengths of these courses.
·
Machine
Learning Foundations: a case study approach. This course teaches
practical cases for most of the typical problems of Machine Learning, such as
regressions, predictions or classifications. Well explained. It is
the first training course Machine Learning Specialization.
Intermediate level
Although
basic concepts of Machine Learning and Deep Learning continue to be addressed,
the degree of specialization is greater in this second level. There are
courses with more theoretical weight and others focused mainly on the practical
part, but all require some prior knowledge.
·
Machine Learning It
is a course that covers all the basic concepts of Machine Learning from a
theoretical perspective, but without losing the applied point of view. The
level is high and it is highly recommended for those who want to begin to
know what Machine Learning and its mathematics are, as well as for those who
want to refresh some concepts seen in the past. Of course, it takes effort
to understand the mathematical details and dedication to perform the
practices.
·
Text Retrieval and Search Engines and Text
Mining and Analytics. Both courses belong to the specialized
training program in Data
Mining and are a good introduction to the classical techniques of NLP,
text analytics, search engines and recommendation systems based on content. In addition, these two
courses introduce the vector model of documents, TF-IDF, classification and
search engine evaluation techniques, sentiment analysis; document clustering,
topics modeling and visualization. They are, without a doubt, a good
complement to other NLP courses for Deep Learning that tend to focus on
supervised problems.
Practical Deep
Learning for Coders. The
syllabus is divided into two parts and the approach is very practical, addressing
content ranging from "Embeddings", "Structured Deep
Learning", "and Collaborative Filtering “to“Natural Language
Processing" or "Generative Adversarial Networks”.
Advanced level / exp
The courses
shown here are aimed at professionals who want to expand their training, so
that more specific topics and more technical complexity are addressed.
Probabilistic Graphical Models. A total of three courses
("Representation", "Inference" and "Learning")
make up this specialization program on graphic probabilistic models with
applications in machine learning and decision models. One of the best
aspects is that the exercises (Matlab, Octave) require going down to the
detail, which in this case makes it much easier to internalize the theoretical
concepts of the inference and learning part.
Deep Learning by Google. It is an advanced course of
introduction to the world of Deep Learning, very complete and that addresses
issues at a very low level, so it is perfect for those who want to become professionals.