SAS- Favorite programming language of
data scientists
No data science training can be
complete without detailed training related to SAS. SAS is basically one of the
most favored BI tools of data scientists. Sky Infotech has included SAS in its
in-depth data science training course. SAS segment of the course includes
following topics:
·
SAS Programming skills
SAS programmers or statistical
analysis system programmers convert raw data into usable data sets and create
statistical tables showing information.
SAS programmers are hired by
businesses in multiple industries. Core duties of SAS programmers includes-
importing and exporting raw data, extracting data from diverse databases,
managing databases, backing up data, designing and writing programs to create
various data sets, writing macros, analyzing data and writing reports.
·
Working with
Hadoop, Hive and Pig
Trainees learn
how to use processing methods to prepare unstructured and structured big
data for analysis. They learn to organize this data promptly into structured
tabular form using Apache Pig and Apache Hive.
Trainees learn how to:
1. Carry out data analysis using Hive Query
Language.
2. Shift data into the Hadoop ecosystem.
3. Utilize Hive to design a data warehouse in
Hadoop.
4. Carryout extract, load, and transformation.
6. Analyze big data in Hadoop using Pig and Hive.
7. Utilize SAS programming to submit Hive and Pig
programs that execute in Hadoop and return results to SAS or store results in
Hadoop.
8. Utilize SAS programming to transfer data
between the Hadoop Distributed File System (HDFS) and SAS server.
·
Data transformation and manipulation
Transformations and their allied variables to be transformed are
listed in the TRANSFORM statement. Additional information for the
transformation is provided by transformation options. When variables in a data
set are evidently non-normal, it is practical to transform these variables to
conform to the multivariate normality assumption. Different ways in which a SAS
data set can be manipulated, include:
- reducing number of variables in a
data set
- reducing number of observations
in a data set
- modifying or creating a variable
- creating an accumulator variable
- changing a variable's attributes
- assigning values conditionally
·
Fundamentals of
statistics and analytics
This is an
important part of the course as any data scientist should be master in
statistics and analytics.
·
Data improvement
for analytics and reporting
One of the key
components of SAS platform is data quality. Data improvement is mandatory for
analytics and reporting and to build a data-driven business. SAS supports
relational databases, cloud offerings and data lakes.
·
Machine learning
and predictive modeling techniques
Machine learning and deep
learning find insights concealed in data without explicitly being
told where to look for such insights. AI solutions include intuitive machine
learning tools with automated feature engineering capabilities meant to provide
superlative recommendations for faster, smarter decision making. NLP enables
interaction, understanding and communication between machines and humans. To
automatically extract vital business insights and emerging trends, AI solutions
use NLP.
·
Other topics
Other topics like
data exploration and visualization, pattern detection, optimization techniques
are part of Sky Infotech’s SAS segment of Data science course. This institute
ranks highly among institutes in serious contention for best data science traininginstitute in Noida tag and recommendable for anybody who wants Data science
training in Noida.
Thanks & Regards
Sky InfoTech Pvt. Ltd.
A -50, Sector-64, Noida (UP)
Ph. 0120 - 4242224
Noida: 9717292598 / 9717292599
Delhi: 9717292601 / 9717292602
Gurgaon: 9810866624 / 9810866642
No comments:
Post a Comment