info@issnepal.org Basuki Marg, New Baneshwor 01-4592597
In
today’s business environment where “ the world’s most valuable resource is no
longer oil but data”, businesses need more and more people with skills to
extract insights from data and turn it into profit potential. Decision based on
emotions, opinions and biasness leads to a horrible result causing your
business millions of loss and waste of effort and time however, with data
science, your decisions and problem solving skills will be better and faster as
they will be based on reliable sources, predictions, analysis, interpretation
and optimization. Whether you are from a logistics, retails, marketing and
advertising, financial or any industry, data science is being used for business
intelligence, for improving products, for increasing the management
capabilities of companies and for predictive analytics.
For instance: Walmart,
being the world’s largest retailer, is one of the many major industries that is
leveraging Big Data to make business more efficient. A staggering amount of
about 2.5 petabytes of data is collected from the customers every hour. It
tracks and monitors various factors that might affect the sales at Walmart
stores.
The
concepts covered in this course will enable the participants to clean and analyses
data, build models for prediction, create interactive data visualizations, and
to learn practical application in industrial context.
Who is it for?
Everyone
actually!
Mid-level
professionals, Change makers, Product developers, Strategist, marketers,
Entrepreneurs, Business / Engineering and Design Students.
This way of thinking can be applied to
products, services, and processes; anything that needs to be improved or
disrupted, by focusing on creating excellence in customer experience.
Learning Outcomes:
ü Focuses
on strategic aspect of business problems
ü Carefully
crafted approach to provide students with a thorough understanding of business
cases in the organizations’ context.
ü Case
studies spanning across various functions of an organization for a 360-degree
view.
ü Designed
for programmers and non-programmers both in mind with focus on strategic aspect
of data analytics
ü Completely
hands on approach
Key Highlights
ü 40 HRS - Instructor led session
ü Batch of 35-40
ü Theory to practical ratio: 20:80
ü Each module will have two case studies as a part of training delivery
ü KPMG in India will guide participants in selecting and completing a
capstone project as a part of this training delivery.
ü A group project or an individual project depending on batch size.
Modules Covered
ü Use R and Python to clean and analyze data
ü Use inferential and descriptive statistics to make
business decisions
ü Create dashboards and stories
ü Build real-time predictive models using appropriate
techniques
ü Fetch data from websites for analysis
ü Determine customer sentiment by analyzing
feedback/reviews
ü Automate repetitive analytics tasks
Coverage
ü Packages and syntax for data science (R and Python)
ü Business statistics for decision making
ü Data wrangling using R
ü Visualization using dashboard and stories in Tableau
ü Predictive modeling using Python
ü Text and sentiment analysis using Python
ü Web scrapping using Python