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Data Science with R Training Course

Data Science with R online training course covers foundational data science too..

  • 55000 50000
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
Data Science with Python Course

Python for Data Science Online Training Course will also help you master importa..

  • 65000 60000
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...
Data Science & Machine Learning Master's program

Data Science & Machine Learning Master's program online training you will master..

  • 50000 45000
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...
Data Science with SAS

The data science with SAS online training program is suited for data scientists..

  • 60000 55000
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

Python for Data Science online training, you will gain knowledge in data analysi..

  • 40000 35000
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 Science Training Course

Data Science Professional online training course develop a skills such as data a..

  • 80000 75000
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
Data Science Master's Program

BIT's Data Science Masters Program online training course makes you proficient i..

  • 200000 170000
What you will learn
  • Learn the data science process, including how to build effective data visualizations, and how to communicate with variou...
  • Develop software engineering skills that are essential for data scientists, such as creating unit tests and building cla...
  • Learn to work with data through the entire data science process, from running pipelines, transforming data, building mod...
  • Learn to design experiments and analyze results. Explore approaches for building recommendation systems.
  • Leverage what you’ve learned throughout the program to build your own open-ended Data Science project. This project will...
  • MapReduce and HDFS. Real-time analytics with Spark. Data Scientist roles and responsibilities. Prediction and analysis t...
  • Deploying the recommender system. SAS advanced analytics and R programming. Linear and logistic regression
  • Making sense of NoSQL data. Deep Learning model in AI

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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
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...
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...
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...
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
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
What you will learn
  • Learn the data science process, including how to build effective data visualizations, and how to communicate with variou...
  • Develop software engineering skills that are essential for data scientists, such as creating unit tests and building cla...
  • Learn to work with data through the entire data science process, from running pipelines, transforming data, building mod...
  • Learn to design experiments and analyze results. Explore approaches for building recommendation systems.
  • Leverage what you’ve learned throughout the program to build your own open-ended Data Science project. This project will...
  • MapReduce and HDFS. Real-time analytics with Spark. Data Scientist roles and responsibilities. Prediction and analysis t...
  • Deploying the recommender system. SAS advanced analytics and R programming. Linear and logistic regression
  • Making sense of NoSQL data. Deep Learning model in AI
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