Data Science will always remain an
integral part of the culture and economy of the world because Data Science is
helpful for companies in many ways. As it helps to understand the customer need
in an enhancing manner. The findings and results of Data Science can be applied
in every sector like hospitality, travel, education, banking etc. So we can
understand the power and requirement of Data Science.
It is accessible for every sector so
that there are many requirements of Data Science interns. The requirements you
can search for job searching websites.
Now comes on how can you train
yourself to be Data Science professional. TECHNOGEEKS in Pune helps you get
selected for your dream job. TECHNOGEEKS is an institute which provides
training for various courses RPA, AWS, Hadoop, Data Science, Python, Java,
Informatica, DevOps, and Angular JS etc.
Why TECHNOGEEKS?
· Our Data Science program is a job
oriented program.
· Our training program provides
basic to advanced knowledge of every topic.
· Our course design is also as per
the industry requirement.
· We provide regular workshop
sessions for the practising of students.
· We give a chance to students to
interact with industry experts for boosting up their confidence.
· Our faculty is the best trained
skilled facility in the field of Data Science.
· We provide training with real-time
projects.
· Provide 100% placements assistance
and guidance in resume preparation.
Contact us at- 8600998107 or Email
us at contact@technogeekscs.co.in
Visit our website for details: technogeekscs.com
Syllabus contents of Data Science
are:
The modules covered under Data
Science course is:
Section 1 – Introduction to Python
Section 2 – Setting up and
installations
Section 3 – Python object and data
structures operations
Section 4 – Python statements
Section 5 - UDF functions and
methods
Milestone Project - 1
Section 6 - File and exception
handling
Section 7 - Python modules and
packages
Section 8 – Object-oriented
programming
Section 9 - Advanced Python Modules
Section 10 – Package installation
and parallel processing
Section 11 – Introduction to Machine
learning with Python
Milestone Project – 2
Section 12 - Data Analysis with
Python
Section 13 – Data analysis using
Numpy
Section 14 – Pandas and advanced
analysis
Section 15 – Data visualization with
Python
Section 16 Machine learning
Algorithms
Section 17 – REST APIs with flask
and python
During the course we arrange doubt
clearing sessions time to time for a better understanding of the students.
After course completion, we provide a final project which students do by their own under an expert’s guidance.
Hope this helps.
Thanks for reading.
All the best for your future!