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Data Science with Python Course Certification Training Online pdf

Data Science with Python Course
Certification Training Online
IgmGuru's Data Science with Python Course Online has been
designed after consulting some of the best in the industry and
also the faculty who are teaching at some of the best
universities. The reason we have done this is because we
wanted to embed the topics and techniques which are practiced
and are in demand in the industry – conduct them with the
help of pedagogy which is followed across universities – kind of
applied data science with python. In doing so, we make our
learners more industry/job-ready. IgmGuru’s Data Science with
Python Training Online is the gateway towards your Data
Science career.
Data Science with Python Course Overview
The demand and the supply gap for a data scientist are everincreasing. In fact, in one of its surveys, IBM predicts
increment in data science jobs to be 364,000 to 2720,000 in
2020 which is only going upwards in the subsequent years.
Python, as a programming language, is immensely popular for
building data science-based applications owing to its simplicity,
and large community support and ease of deployment.
IgmGuru's Data Science with Python online course has been
designed keeping in mind about learners who have zero to
some level of exposure to Python. Any ideal session in this
course would dedicate a good amount of time to understanding
the theoretical part after which we will be moving on to the
application of theoretical concepts by doing hands-on these
statistical techniques. You would be provided with a lot of data
set to practice things during the session and also to practice
later on in the form of self-study which will help you in your
journey of applied data science with python.
The three main pillars of applied data science with
1. Application of mathematical and statistical concepts
2. Expressing them using a programming language or a
3. Particular business domain
The Python certification for Data Science modules focuses on
explaining various use cases, some of the very famous
applications/services which use Python, and then we gradually
move to understand data science workflow using Python
theoretically. We will help you understand the basic
components of any data science model, right from fetching
your data from your database to building a model that is in a
deployable form.
What are the key deliverables data science with python
course online
As you will progress in the Data Science with Python online
training program, you will get to know the below things
Statistics for data science
Basic data cleaning techniques for model building
Converting your raw data into a machine consumable format
Working principle of machine learning models and their
Understanding the parameters required for checking model
Deploying the model to make it available as a service
Maintaining the model over a period of time
With respect to the above steps, you will also learn how to use
data science specific libraries in Python eg. Frequently used
libraries in data cleaning like NumPy, pandas, spicy, groupby,
merge; data plotting libraries like matplotlib, seaborn; machine
learning-based modules available inside scikit learn for building
various regression and classification based algorithms, libraries
to check model accuracy like confusion matrix, MSE, RMSE,
Natural Language-based libraries like NLTK, genism, VADER.
These will help learners with applied data science with python
A good amount of content has also been dedicated to Natural
Language Processing techniques and various web scraping
methodologies. Of late, NLP is gaining a lot of popularity owing
to use in our day to day life eg. Mails, tweets, FB posts,
WhatsApp chats are ideal input for any NLP based models. You
are very likely to experience NLP based openings which are
nowadays considered to be a specialty within the Machine
Learning branch. These are all instances of applied data science
with python
Hence assessing the market-based demands, we have
specifically designed modules to upskill you in this area as well
– mostly its applied data science with python A very significant
model in the area of NLP is Sentiment Analysis which is
something we will be building to start things off and will move
on to build much complex algorithm in this area.