Data Scientist Track

Location type
Logo SimpliLearn
Provider rating: starstarstarstarstar 10 SimpliLearn has an average rating of 10 (out of 1 reviews)

Need more information? Get more details on the site of the provider.

Description

Why choose Simplilearn for your training?

Simplilearn is one of the world’s leading certification training providers. We partner with companies and individuals to address their unique needs, providing training and coaching that helps working professionals achieve their career goals.

The Data Scientist Track allow you to become an expert in Data . During this Learning Track you will follow 8 different trainings to develop your knowledges and skills in the field.
For each training completed, receive a certification and continue your progress to become expert in Data.

Tableau Certification

This Tableau training course will help you master the Tableau Desktop 10 data visualization and reporting tool. You’ll learn how to build visualizations, organize data, and design dashboards to empower more meaningful business decisions. You’ll be exposed to the concepts of statistics, data mapping, and establishing data connections. The course includes four industry-based projects and …

Read the complete description

Frequently asked questions

There are no frequently asked questions yet. Send an Email to info@springest.co.uk

Why choose Simplilearn for your training?

Simplilearn is one of the world’s leading certification training providers. We partner with companies and individuals to address their unique needs, providing training and coaching that helps working professionals achieve their career goals.

The Data Scientist Track allow you to become an expert in Data . During this Learning Track you will follow 8 different trainings to develop your knowledges and skills in the field.
For each training completed, receive a certification and continue your progress to become expert in Data.

Tableau Certification

This Tableau training course will help you master the Tableau Desktop 10 data visualization and reporting tool. You’ll learn how to build visualizations, organize data, and design dashboards to empower more meaningful business decisions. You’ll be exposed to the concepts of statistics, data mapping, and establishing data connections. The course includes four industry-based projects and two simulation exams to prepare you for the Tableau Desktop 10 Qualified Associate certification.
With Simplilearn’s Tableau certification training on Desktop 10, you will be able to: 
* Grasp the concepts of Tableau Desktop 10, become proficient with Tableau statistics and build interactive dashboards
* Master data sources and datable blending, create data extracts and organize and format data
* Master arithmetic, logical, table and LOD calculations and ad-hoc analytics
* Become an expert on visualization techniques such as heat map, tree map, waterfall, Pareto, Gantt chart and market basket analysis
* Learn to analyze data using Tableau Desktop as well as clustering and forecasting techniques
* Gain command of mapping concepts such as custom geocoding and radial selections
* Master Special Field Types and Tableau Generated Fields and the process of creating and using parameters
* Learn how to build interactive dashboards, story interfaces and how to share your work

Data Science with Python

This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and gain deep knowledge in data analytics, machine learning, data visualization, web scraping, and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.
This Python for Data Science training course will enable you to:
* Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics
* Install the required Python environment and other auxiliary tools and libraries
* Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
* Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
* Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave
* Perform data analysis and manipulation using data structures and tools provided in the Pandas package
* Gain expertise in machine learning using the Scikit-Learn package
* Gain an in-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline
* Use the Scikit-Learn package for natural language processing
* Use the matplotlib library of Python for data visualization
* Extract useful data from websites by performing web scrapping using Python
* Integrate Python with Hadoop, Spark and MapReduce

Data Science with SAS

In this SAS Certification Training, you’ll become an expert in analytics techniques using the SAS data science tool. You’ll learn how to apply data manipulation and optimization techniques, advanced statistical concepts like clustering, linear regression, and decision trees, data analysis methods to solve real-world business problems, and predictive modeling techniques. This SAS Certification course will give you the practical knowledge you can apply in your next data analysis job.
This course will enable you to:
* Understand the role of data scientists, various analytics techniques, and widely used tools
* Gain an understanding of SAS, the role of GUI, library statements, importing and exporting of data and variable attributes
* Gain an in-depth understanding of statistics, hypothesis testing, and advanced statistical techniques like clustering, decision trees, linear regression, and logistic regression
* Learn the various techniques for combining and modifying datasets like concatenation, interleaving, one-to-one merging and reading. You will also learn the various SAS functions and procedure for data manipulation
* Understand 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.
* Understand the power of SAS Macros and how they can be used for faster data manipulation and for reducing the amount of regular SAS code required for analytics
* Gain an in-depth understanding of the various types of Macro variables, Macro function SYMBOLGEN System options, SQL clauses, and the %Macro statement
* Learn and perform data exploration techniques using SAS
* Understand various time series models and work on those using SAS
* Model, formulate and solve data optimization by using SAS and OPTMODEL procedure

Data Science with R

Become an expert in data analytics using the R programming language in this data science certification training course. You’ll master data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, and many more.
This data science training course will enable you to:
* Gain a foundational understanding of business analytics
* Install R, R-studio, and workspace setup, and learn about the various R packages
* Master R programming and understand how various statements are executed in R
* Gain an in-depth understanding of data structure used in R and learn to import/export data in R
* Define, understand and use the various apply functions and DPYR functions
* Understand and use the various graphics in R for data visualization
* Gain a basic understanding of various statistical concepts
* Understand and use hypothesis testing method to drive business decisions
* Understand and use linear, non-linear regression models, and classification techniques for data analysis
* Learn and use the various association rules and Apriori algorithm
* Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering

Machine Learning

Simplilearn’s Machine Learning course will make you an expert in machine learning, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You'll master machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for the role of a Machine Learning Engineer.
* Master the concepts of supervised and unsupervised learning, recommendation engine, and time series modelling
* Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach that includes working on four major end-to-end projects and 25+ hands-on exercises
* Acquire thorough knowledge of the statistical and heuristic aspects of machine learning
* Implement models such as support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-means clustering and more in Python
* Validate machine learning models and decode various accuracy metrics. Improve the final models using another set of optimization algorithms, which include Boosting & Bagging techniques
* Comprehend theoretical concepts and how they relate to the practical aspects of machine learning

Big Data Hadoop and Spark Developer

Switch career on Big Data Hadoop and Spark with Simplilearn's online training course on Big Data Hadoop. Master Big Data and Hadoop Ecosystem tools, such as HDFS, YARN, MapReduce, Hive, HBase, Spark, Flume, Sqoop, Hadoop Frameworks, Spark SQL and more concepts of Big Data processing life cycle. Work on real-time projects in Human Resource, Stock Exchange, BFSI, Retail & Payments and master concepts of Big Data Hadoop. This course also prepares you for Cloudera’s CCA175 Big Data certification.
Big Data Hadoop certification training will enable you to master the concepts of the Hadoop framework and its deployment in a cluster environment. By the end of this course, you will be able to:
* Learn how to navigate the Hadoop Ecosystem and understand how to optimize its use
* Ingest data using Sqoop, Flume, and Kafka
* Implement partitioning, bucketing, and indexing in Hive
* Work with RDD in Apache Spark
* Process real-time streaming data
* Perform DataFrame operations in Spark using SQL queries
* Implement User-Defined Functions (UDF) and User-Defined Attribute Functions (UDAF) in Spark
* Prepare for Cloudera CCA175 Big Data certification exam
Plus :

Statistics Essentials for Data Science

Python For Data Science

There are no reviews yet.

    Share your review

    Do you have experience with this course? Submit your review and help other people make the right choice. As a thank you for your effort we will donate £1.- to Stichting Edukans.

    There are no frequently asked questions yet. Send an Email to info@springest.co.uk