Simplilearn has trained 1,000,000+ professionals across the world providing more than 400 courses in different domains. It is one of the renowned certification training providers that aims to upskill professionals so that they can scale heights in their career. Data Science is a field that comprises of everything that is related to data cleansing, preparation, and analysis. Simplilearn lets the professionals enter the world of Data Science by providing a number of foundation as well as masters programs. The training method involves self-paced learning and online classroom learning. It provides highly qualified trainers with a teaching experience of more than 10 years.
Simplilearn believes that theoretical knowledge is just a small part of the training program. Hence it is supported by real-life industry-oriented projects which give hands-on practical experience to the learners. There are just a few system requirements as Simplilearn provides the CloudLab environment to execute the projects. Moreover, it keeps a check on the understanding capability of the learners by conducting simulation tests, quizzes, case studies, and downloadable workbooks.
Data Science Certification Training – R Programming
The Data Science with R course provides a 360-degree overview of business analytics and R diving deep into the concepts like predictive analysis, data visualization, and data exploration. You can master advanced statistical concepts like forecasting, cluster analysis, and linear and logistic regression. Use the CloudLab facility to implement real-life industry-oriented projects. The course aims to enhance your skills further in various association rules and the Apriori algorithm and using clustering methods like K-means, DBSCAN, and hierarchical clustering.
Data Science with SAS Training
This all-in-one Data Science with SAS Training course is designed for the people who aspire to become a successful data scientist. You can become proficient in analytics techniques using SAS data science tools. You will learn how to combine dataset methods, understand select statements and joins in SQL, and comprehend the need for macro variables.
The well-organized content helps in comprehension of the following:
understanding of SAS, the role of GUI, library statements, importing and exporting of data and variable attributes.
PROC SQL, its syntax, and master the various PROC statements and subsequent statistical procedures used for analytics including PROC UNIVARIATE, PROC MEANS, PROC FREQ, PROC CORP, and more.
in-depth understanding of the various types of Macro variables, Macro function SYMBOLGEN System options, SQL clauses, and the %Macro statement.
Understand various time series models and work on those using SAS. Also learn how to model, formulate and solve data optimization by using SAS and OPTMODEL procedure.
Data Science with Python
This Data Science with Python course explains the crucial concepts of Python and how it is used in data analytics techniques. Enter the world of data analytics, data visualization, natural language processing machine learning, and web scraping.
Precisely, this course helps you to:
Focus on hypothesis building and testing, data exploration, data science processes, and data visualization. Also learn the concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions.
Conduct high-level mathematical computing as well as scientific and technical computing using the NumPy package and SciPy package respectively.
Enhance your knowledge of supervised learning and unsupervised learning models like logistic regression, dimensionality reduction, clustering, linear regression, K-NN, and pipeline.
Learn natural language processing using the Scikit-Learn package