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Oracle DBA Online Training helps students gain the skills and knowledge required..
What you will learn
- Managing components with Oracle Restart. Configuring and managing the Network Environment.
- Upgrading existing versions of Oracle Database to the latest Oracle Database 12c. Creating and managing Storage Structur...
- Using the Oracle Support Workbench and My Oracle Support for updating Oracle Database software.
- Learning basic backup and recovery techniques. Installing Oracle Grid Infrastructure for Standalone Servers.
- Acquiring an understanding of the Oracle Database Cloud Service.
- Monitoring & troubleshooting the database while ensuring performance. Optimize the performance effectively & efficiently...
- Creating container databases and provisioning pluggable databases.
Oracle Database 12c Admin, Install and Upgrade Accelerated Online Training cours..
What you will learn
- Manage Oracle Database Storage structures. Gain an understand of the Oracle Database Cloud Service.
- Install Oracle Database 12c software. Upgrade database to Oracle Database 12c. Create an Oracle Database.
- Create a container database. Monitor the Database. Manage Database Performance. Implement Database Auditing
- Configure the Database Instance Such That Resources Are Appropriately Allocated Among Sessions and Tasks.
- Schedule Jobs to Run Inside or Outside of the Database. Configure Oracle Net Services.
- Describe Oracle Database Architecture . Manage the Oracle Database Instance
- Configure your Database For Backup and Recovery Operations.
Oracle Database 12c Advanced Administration-OCP online training course will teac..
What you will learn
- Manage Oracle Database Storage Structures. Gain an Understanding of the Oracle Database Cloud Service
- Install Oracle Database 12c Software. Upgrade a Database to Oracle Database 12c. Create an Oracle Database
- Create a Container Database. Implement Database Auditing. Configure Oracle Net Services
- Allocated Among Sessions and Tasks. Schedule Jobs to Run Inside or Outside of the Database.
- Configure Your Database for Backup and Recovery Operations. Describe Oracle Database Architecture.
- Configure the Database Instance Such That Resources Are Appropriate. Manage the Oracle Database Instance
MCSA-SQL Database Administrator 2016 certification online training imparts an un..
What you will learn
- Authenticate and authorize users. Assign server and database roles
- Authorize users to access resources. Protect data with encryption and auditing
- Describe recovery models and backup strategies. Backup SQL Server databases
- Restore SQL Server databases. Automate database management
- Configure security for the SQL Server agent. Manage alerts and notifications
- Managing SQL Server using PowerShell. Trace access to SQL Server
- Monitor a SQL Server infrastructure. Troubleshoot a SQL Server infrastructure
- Import and export data. Provision a Database Server. Upgrade SQL Server
MCSA: SQL 2016 Database Development certification online training validates your..
What you will learn
- Understand the underlying architecture and basic concepts of SQL Server 2016. Familiarize with Transact-SQL and discern...
- Write queries for multiple tables. Sort, filter, and modify data using Transact-SQL
- Understand different data types used in SQL Server. Use built-in functions, table expressions, set operators and subquer...
- Group and aggregate data. Implement window ranking, offset and aggregate functions
- Implement grouping sets and pivoting. Execute stored procedures, transactions and error handling
Big Data Hadoop Professional Online Training Program is curated by Hadoop exper..
What you will learn
- Role of Relational Database Management System (RDBMS) and Grid computing
- Concepts of MapReduce and HDFS
- Using Hadoop I/O to write MapReduce programs
- Develop MapReduce applications to solve the problems
- Set up Hadoop cluster and administer
- Hive, a data warehouse software, for querying and managing large datasets residing in distributed storage
- Use of Sqoop in controlling the import and consistency
- Spark, Spark SQL, Streaming, Data Frame, RDD, GraphX and MLlib writing Spark applications
- Hadoop testing applications using MRUnit and other automation tools
- Configuring ETL tools like Pentaho/Talend to work with MapReduce, Hive, Pig, etc.
Tableau Data Analytics Master's Online Training Program is a Combination Course..
What you will learn
- Understand Tableau Desktop, Tableau statistics and interactive dashboard
- Learn about Tableau generated fields and special field types
- Use Tableau Server for monitoring functions
- Charting with Spark line, Pareto, Gantt and Box plots in Tableau
- Learn about spatial analysis, formatting and annotations
- Understand data visualization and advanced concepts
- Learn about Tableau Interface and terminology
- Learn to implement Data Aggregation and Data Blending
- Know about Tableau scripting APIs. Work with disparate data sources
Integrate Tableau with R programming
Become an expert in Hadoop by getting hands-on knowledge on MapReduce, Hadoop Ar..
What you will learn
- Fundamentals of Hadoop and YARN and write applications using them
- Setting up pseudo-node and multi-node clusters on Amazon EC2
- Spark, Spark SQL, Streaming, Data Frame, RDD, GraphX and MLlib writing Spark applications
- Hadoop administration activities like cluster managing, monitoring, administration and troubleshooting
- Set up different configurations of Hadoop cluster
- Maintain and monitor Hadoop cluster by considering the optimal hardware and networking settings
- Leverage Pig, Hive, Hbase, ZooKeeper, Sqoop, Flume, and other projects from the Apache Hadoop ecosystem
- Hadoop testing applications using MRUnit and other automation tools
- Practicing real-life projects using Hadoop and Apache Spark
Big Data Hadoop Analyst online training course helps you master Big Data Analysi..
What you will learn
- How the open source ecosystem of big data tools addresses challenges not met by traditional RDBMSs
- Using Apache Hive and Apache Impala to provide SQL access to data
- Hive and Impala syntax and data formats, including functions and subqueries
- Create, modify, and delete tables, views, and databases; load data; and store results of queries
- Create and use partitions and different file formats. Combining two or more datasets using JOIN or UNION, as appropriate
- What analytic and windowing functions are, and how to use them. Store and query complex or nested data structures
- Process and analyze semi-structured and unstructured data. Techniques for optimizing Hive and Impala queries
- Extending the capabilities of Hive and Impala using parameters, custom file formats and SerDes, and external scripts
- How to determine whether Hive, Impala, an RDBMS, or a mix of these is best for a given task
Data Science with R online training course covers foundational data science too..
What you will learn
- Explore R data structures and syntaxes
- Read and write data from a local file to a cloud-hosted database
- Work with data, get summaries, and transform them to fit your needs
- Explore R language fundamentals, including basic syntax, variables, and types
- Create functions and use control flow
- Learn to program in R at a good level
- Learn how to build and use matrices in R
- Understand the Normal distribution
- Foundational R programming concepts such as data types, vectors arithmetic, and indexing
- How to perform operations in R including sorting, data wrangling using dplyr, and making plots
Python for Data Science Online Training Course will also help you master importa..
What you will learn
- To perform scientific & technical computing using SciPy package & its sub-packages such as Integrate, Optimize, Statisti...
- Perform data analysis and manipulation using data structures and tools provided in Pandas package
- Gain an in-depth understanding of supervised & unsupervised learning models like linear & logistic regression, clusterin...
- Use Scikit-Learn package for natural language processing
- How to use the matplotlib library of Python for data visualization
- Extract useful data from websites by performing web scraping using Python
- Integrate Python with Hadoop, Spark, and MapReduce
- Master's concepts like Regression, K-Nearest Neighbors, Naive Bayes, Neural Networks Clustering, Network Analysis, Clas...
BIT’s Data Analytics with R online training will help you master in R Programmin..
What you will learn
- Explore & visualize data & polish your skills in techniques such as Predictive Analytics, Association Rule Mining & much...
- Derive meaning from custom created charts which represent complex data, manipulate this data & create statistical models...
- Learn to use R, not just as a statistical tool but to create your own functions, objects and packages
- Learn where to use algorithms - Decision Trees, Logistic Regression, Support Vector Machines, Ensemble Techniques etc
- Perform Analysis of Variance (ANOVA)
- Apply various supervised machine learning techniques
Data Science & Machine Learning Master's program online training you will master..
What you will learn
- Perform scientific & technical computing using SciPy package & its sub-packages such as Integrate, Optimize, Statistics,...
- In-depth understanding of supervised & unsupervised learning models like linear & logistic regression, clustering, dimen...
- Learn how to implement the unsupervised learning algorithms, including deep learning, clustering, & recommendation syste...
- Develop an understanding classification data and models
- Gain important experiences into signs, pictures, and sounds with SciPy, scikit-picture, and OpenCV
- Analyze information with Bayesian or frequentist insights (Pandas, PyMC, & R), & gain from genuine information through A...
The data science with SAS online training program is suited for data scientists..
What you will learn
- 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 attribut...
- Gain an in-depth understanding of statistics, hypothesis testing, and advanced statistics techniques like clustering, de...
- Learn the various techniques for combining and modifying datasets like concatenation, interleaving, one-to-one merging a...
- Understand PROC SQL, its syntax, and master the various PROC statements and subsequent statistical procedures used for a...
- Understand the power of SAS Macros and how they can be used for faster data manipulation and for reducing the amount of...
- Gain an in-depth understanding of the various types of Macro variables, Macro function SYMBOLGEN System options, SQL cla...
Python for Data Science online training, you will gain knowledge in data analysi..
What you will learn
- To perform scientific and technical computing using SciPy package and its sub-packages such as Integrate, Optimize, Stat...
- Perform data analysis and manipulation using data structures and tools provided in Pandas package
- Gain an in-depth understanding of supervised learning and unsupervised
- learning models like linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline. U...
- How to use the matplotlib library of Python for data visualization. Extract useful data from websites by performing web...
- Integrate Python with Hadoop, Spark, and MapReduce
Data Analysis using Python online training course will help to understanding of..
What you will learn
- How to use several Python packages for business analysis, including pandas for data manipulation; StatsModels, SciPy, an...
- To divide data into training and test datasets for validation
- To visualize data. To estimate and interpret statistical models, such as OLS and logistic regression
- Deal with different data sources: json, CSV, API. Use Numpy library to create and manipulate arrays.
- Use the pandas module with Python to create and structure data.
Data Analytics using Python online training course will provide the various skil..
What you will learn
- How to use several Python packages for business analysis, including pandas for data manipulation; StatsModels, SciPy, an...
- To divide data into training and test datasets for validation
- To visualize data. To estimate and interpret statistical models, such as OLS and logistic regression
- Deal with different data sources: json, CSV, API. Use Numpy library to create and manipulate arrays.
- Use the pandas module with Python to create and structure data. Visualize data using matplotlib in Python.
- Learn how to work with various data within python, including: Excel Data,Geographical data,Text Data and Time Series Dat...
Data Analytics Using SAS online training course teaches to diagnose systematic v..
What you will learn
- you will learn SAS macros, Machine Learning, PROC SQL, procedure, statistical analysis and decision trees.
- You will Learn data mining, data analytics, modeling techniques, visualization of data, predictive analysis
- Generate descriptive statistics and explore data with graphs. Perform analysis of variance and apply multiple comparison...
- Perform linear regression and assess the assumptions. Use regression model selection techniques to aid in the choice of...
- Illustrate the features and functions available in SAS/ETS®
- Demonstrate the use of different models used for time series
- Recommend suggestions based on Autoregressive Integrated Moving Average (ARIMA) model
- Find autoregressive errors. Elucidate State Space modeling
- Work on periodic data, harmonic frequencies, spectral density for spectral analysis
- Apply Scorecard, Forecasting data model, Goal-Seeking model for data mining and forecasting
Data Analysis using SAS online training by BIT will help you master advanced ana..
What you will learn
- Learn to accomplish a task with various SAS techniques,
- Learn step-by-step statistical analysis from descriptive statistics, hypothesis testing to linear regression
- Learn data importing with different techniques for various type of data
- Use many important functions to make SAS programming easy
- Advanced concepts of meta data: formats and informants, labels, lengths, etc.
- Learn the manipulation techniques to prepare the data and make the data analysis-ready
- Perform dataset manipulations: subsetting, transposition, etc.
- Be able to properly interpret the results from statistical analyses
Data Science Professional online training course develop a skills such as data a..
What you will learn
- To perform scientific and technical computing using SciPy package and its sub-packages such as Integrate, Optimize, Stat...
- Perform data analysis and manipulation using data structures and tools provided in Pandas package
- Gain an in-depth understanding of supervised learning and unsupervised learning models like linear regression, logistic...
- Make predictions using linear regression, polynomial regression, and multivariate regression
- Build artificial neural networks with Tensorflow and Keras
- Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
- Data Visualization with MatPlotLib and Seaborn
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