In today’s world where information technology rules supreme, data is everywhere and all-important. Businesses today rely on converting data into actionable insights and solutions in order to survive and thrive. This process of interpreting huge amounts of data, using algorithms and certain procedures, and drawing conclusions, connecting the dots and identifying trends is called data analytics. This field has become extremely relevant and will only grow in scope and importance with time, as all businesses, regardless of their size relies heavily on leveraging data and will continue to do so.

1. IIM SKILLS
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2. In this current business reality, data is everywhere and data is king. Organizations that can
utilize this vast sea of information most effectively obtain a competitive edge which is
hard to beat.
Data analytics is the process of taking raw data and transforming it into actionable
intelligence. This process is categorized into descriptive, diagnostic, predictive and
prescriptive analytics. Through data analytics one can come to reveal the underlying
causes behind trends, predict future eventualities and engineer relevant strategies.
In data analytics, raw data is collected from various sources, cleansed and transformed,
and finally analyzed with the help of statistical methods and machine learning, in order to
come up with practical insights which in turn drive decision making.
Data analytics is relevant across all industries and has become absolutely necessary in this
digital age.

3. KEY TRENDS IN DATA ANALYTICS
The field of data analytics is closely interwoven with technology, and as the latter is a rapidly evolving industry, the
former experiences very dynamic shifts. Here are some of the key trends in data analytics.
Augmented Analytics: The rise of integrated machine learning and AI is changing how data analysis is
approached. Augmented analytics has empowered users with non-technical backgrounds and has made
access to data much more democratic.
Edge Analytics: The proliferation of IoT devices has resulted in the collection of data closer to its source and
has enabled real-time data input, which is of critical importance in industries like manufacturing, healthcare
and logistics.
Explainable AI: As the deployment of AI becomes even more widespread, it becomes increasingly important
in fields like finance and healthcare, that the AI models be able to explain their reasoning in order to build
trust and ensure comprehension.
Automated Machine Learning (AutoML): AutoML is crucial in AI model development, in order for organizations
to exploit the power of predictive analytics without the need for extensive expertise.
Data Governance and Privacy: There is an increased emphasis on data ethics and privacy and organisations
must ensure that they are complaint with regulations and managing data ethically.

4. WHO SHOULD DO THIS
DATA ANALYTICS COURSE
This wholesome Data Analytics course by IIM Skills experts is customized to match
the tastes and minds of people belonging to fresher, mid-level and senior-level
positions in the industry. Without any foundations, this course is a first-rate fit for
anyone eyeing a career in the world of data analytics.
While the best candidates for taking the Data Analytics course are aspiring
professionals from different educational backgrounds who have an analytical
mindset, we believe the Data Analytics course is suitably meant for you if you are
some from these fields:
Fresh Graduates
UG/PG Students
IT professionals
Banking and finance professionals
Sales professionals
Marketing managers
Supply chain network managers

5. AIMS & OBJECTIVES OF OUR
DATA ANALYTICS COURSE
This refined Data Analytics course is curated by experts with a clear-cut
intention and aims to :
Introduce learners to the concepts of Data Analysis, types of Data
Analysis, data mining etc.
Facilitate learners to carry out business analytics tasks such as pulling,
cleaning, manipulating and analyzing data.
Expand your knowledge of Data Analytics processes using tools like
Excel, Power BI, Tableau.
Leverage Python language to manipulate datasets as an alternative to
spreadsheets.
Attain a wholesome knowledge of statistical Data Analysis, which
fosters business decision-making process.

6. ELIGIBILITY CRITERIA
FOR OUR LEADING DATA
ANALYTICS COURSE
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As a true believer in education for all, IIM Skills has minimal or next-to-nothing pre-requisite criteria
to be eligible for this course. Anyone who is fascinated by and has a deep interest in Data Analytics
can start from scratch to step into this futuristic field.
The basic eligibility criteria are as follows:
Bachelor’s degree in any discipline.
Fundamental knowledge of computers and technology.
Prior knowledge of statistics and mathematics may be an added advantage, but it is by no
means mandatory to have a background in these subjects.
This training can help newcomers and recent graduates get started in any industry since each and
every business today is influenced and fuelled by data. Those already working in the industry can
enhance their skills to induce a vertical rise in their career trajectory. Those looking to change their
career to the Data Analytics domain can also benefit from this training to establish themselves in
this high-paying sector.

7. Connect with us.
IIM Skills (Co-Offiz) H B Twin Tower,
8th Floor Max Hospital Building,
Netaji Subhash Place, Pitampura,
New Delhi, Delhi - 110034.
+91 9580 740 740 info@iimskills.com