Data Analytics Courses

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Data Analytics Courses Need of the hour
The examination of data helps to draw a
conclusion from the information available with
the help of several softwares and this is called
data analytics. In the commercial world, data
analytics has become priceless over the last few
years. It helps a business to make its highly
qualified decisions with the scientific data and
research available. The tools enable the
scientists and researchers to verify or reject
scientific models, theories and hypotheses. It
helps an agency in the enhancement of customer
service and operational proficiency. It also
utilizes historical and processed information
performed at the present time. There are two
forms of data analytics ? Quantitative data
analytics- numerical data which can be compared
statistically. ? Qualitative data analytics- it
is interpretative and ends up drawing
conclusions from non-numerical data.
Eligibility Criteria Some criteria for
eligibility into data analytics are ? Available
at the post-graduate level ? Available for the
streams of engineering, computer science and
management ? Minimum criteria- 50 mark or above
in aggregate of a bachelors degree or
equivalent in science or computers from a
renowned university ? Have enhanced analytical
skills along with quality knowledge in querying
language (SQL, Hive, Pig), statistical language
(R, SAS, SPSS), scripting language (Python,
MATLAB), and Excel. ? Have interpretive and
problem-solving skills
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Data Analytics Courses
Undergraduate ? BE/BTech ? BSc
Post-graduate ? MBA/PGDM ? MSc/MCA/MTech
One can also pursue short-term certification
above-mentioned degrees.
courses
apart
from these
Data Analytics Syllabus Topics that are contained
in data analytics are ? data structures and
algorithms ? probability and statistics ?
relational database management systems ? business
fundamentals ? text analytics ? data collection ?
data visualization ? statistical analysis ?
forecasting analytics ? simulation ? machine
learning ? optimization ? marketing analytics ?
pricing analytics ? social network analysis ?
retail analytics ? customer analytics ? supply
chain analytics Software tools taught
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? R ? _at_Risk ? MySQL ? Simio ? Hadoop (AWS) ?
Tableau ? Python ? XLMiner ? Stata ? NodeXL- MeXL
Data Analytics Top Job Roles A few of the job
roles are ? Data Scientist Data scientists
organize scientific information pulled for a
specific project on the basis of programming
languages like SAS, R and Python. ? Data
Architect Data architects picture the scheme of
the data science project that is to be
undertaken by the agency. ? Data Engineer Data
engineers construct the algorithms, prototypes,
and conceptual models according to the scheme
planned by data architects. ? Data Analyst
Data analysts are required to analyze the
provided information in order to extract
significant insights required for a specific
project.
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Data Analytics Top Companies The requirement of
data analytics is increasing day by day. Simple
Excel work is also done by a data analyst. Data
analytics help a company to expand its revenue,
provide enhanced customer satisfaction and get an
edge over adversaries. Data analysts are also
renowned not only in the field of information
technology, but also in finance, insurance,
banking, marketing sales, consumer goods,
electronics, etc. Join data analytics courses
today to take advantage of job requirements.
phone no. 60 19-479 1378 address 1 Sentral,
Jalan Stesen Sentral 5, KL Sentral, Kuala Lumpur,
Malaysia. Link https//g.page/360DigiTMG-DataSci
ence-Malaysia/