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SQL for Business Analytics

BIT’s SQL for Business Analytics Professional online training course will provid..

  • 40000 35000
What you will learn
  • Describe key capabilities and components of SQL Server. Describe T-SQL, sets, and predicate logic.
  • Write SELECT statements with filtering and sorting. Describe how SQL Server uses data types.
  • Write queries that use built-in functions. Write queries that aggregate data.
  • Create and implement views and table-valued functions. Use set operators to combine query results.
  • Write queries that use window ranking, offset, and aggregate functions. Transform data by implementing pivot, unpivot,...
  • Design and Implement Tables. Describe advanced table designs
  • Ensure Data Integrity through Constraints. Describe indexes, including Optimized and Columnstore indexes
  • Design and Implement Views. Design and Implement Stored Procedures.
  • Design and Implement In-Memory Tables. Implement Managed Code in SQL Server.
Business Analytics using Tableau Training Course

BIT's Tableau Business Analytics online training helps you learn how to build vi..

  • 40000 35000
What you will learn
  • Introduction to the Tableau architecture
  • Working with Tableau dashboard. Implementing data blending and aggregation
  • Data visualization and real-time analytics. Tableau generated fields and special fields
  • Connecting Tableau with R. Deploying R scripts on Tableau
  • Data connections for organizing data. Tableau graphs, reports, and calculations
Business Analytics using R

Business Analytics using R Online Training Course will help to make efficient, p..

  • 50000 45000
What you will learn
  • Use basic statistical concepts on multiple types of data to prepare reports.
  • Use data sampling techniques to select, manipulate and analyse different data points to identify patterns and trends.
  • Solve complex problems with R which is the most popular language for data science and an essential tool for Finance and...
  • Optimise business situations that involve whole numbers, take decisions that involve multiple input variables to predict...
  • Model decisions under a variety of future uncertain states, depending on the decision maker’s proneness or aversion to r...
  • Compute correlation between data points in a time series.
  • Test hypothesis for experiments involving different treatments and Identify the source of differences to pinpoint which...
  • Model continuous outcomes that depend on more than one input variable.
Business Analytics using Python

Business Analytics using Python Online Training Course is design for professiona..

  • 55000 50000
What you will learn
  • Use basic statistical concepts on multiple types of data to prepare reports.
  • Solve complex problems with Python - the most essential tools for Finance and analytics-driven companies.
  • Optimize business situations that involve whole numbers, take decisions that involve multiple input variables to predict...
  • Model decisions under a variety of future uncertain states, depending on the decision maker’s proneness or aversion to r...
  • Compute correlation between data points in a time series.
  • Compute the regression model for time series data that has a correlation within itself.
  • Test hypothesis for experiments involving different treatments and Identify the source of differences to pinpoint which...
Business Analytics using SAS

Business Analytics Using SAS online training course focuses on linear regression..

  • 55000 50000
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 & explore data with graphs. Perform analysis of variance & apply multiple comparison tec...
  • Perform linear regression and assess the assumptions. Use regression model selection techniques to aid in the choice of...
  • Explore data analysis and perform linear regression
  • Illustrate the use of One-Way ANOVA and Two-Way ANOVA
  • Conduct regression diagnostics and find out the influential observations. Identify the use of logistic regression and ta...
  • Interpretive predictive modeling and Adjustments for Oversampling. Demonstrate the use of nonlinearities and multilayer...
Business Analytics Master's Program

BIT's Business Analytics Master’s online training course is designed for candida..

  • 150000 135000
What you will learn
  • approach business problems data-analytically. Students should be able to think carefully and systematically about whethe...
  • develop business analytics ideas, analyze data using business analytics software, and generate business insights.
  • Key analytic technologies and techniques, e.g. predictive modeling and machine learning, and how these can play a role i...
  • How to effectively manage the analytical processes and use the results of these processes as the basis for making inform...
  • Apply methods, tools, and software for acquiring, managing/storing, and accessing structured and unstructured data
  • Prepare data for statistical analysis, perform basic exploratory and descriptive analysis, and apply statistical techniq...
  • Apply descriptive, predictive and prescriptive analytics to business modeling and decision-making
  • Demonstrate orally, and in writing, the ability to explain complex analytical models and results

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What you will learn
  • Describe key capabilities and components of SQL Server. Describe T-SQL, sets, and predicate logic.
  • Write SELECT statements with filtering and sorting. Describe how SQL Server uses data types.
  • Write queries that use built-in functions. Write queries that aggregate data.
  • Create and implement views and table-valued functions. Use set operators to combine query results.
  • Write queries that use window ranking, offset, and aggregate functions. Transform data by implementing pivot, unpivot,...
  • Design and Implement Tables. Describe advanced table designs
  • Ensure Data Integrity through Constraints. Describe indexes, including Optimized and Columnstore indexes
  • Design and Implement Views. Design and Implement Stored Procedures.
  • Design and Implement In-Memory Tables. Implement Managed Code in SQL Server.
What you will learn
  • Introduction to the Tableau architecture
  • Working with Tableau dashboard. Implementing data blending and aggregation
  • Data visualization and real-time analytics. Tableau generated fields and special fields
  • Connecting Tableau with R. Deploying R scripts on Tableau
  • Data connections for organizing data. Tableau graphs, reports, and calculations
What you will learn
  • Use basic statistical concepts on multiple types of data to prepare reports.
  • Use data sampling techniques to select, manipulate and analyse different data points to identify patterns and trends.
  • Solve complex problems with R which is the most popular language for data science and an essential tool for Finance and...
  • Optimise business situations that involve whole numbers, take decisions that involve multiple input variables to predict...
  • Model decisions under a variety of future uncertain states, depending on the decision maker’s proneness or aversion to r...
  • Compute correlation between data points in a time series.
  • Test hypothesis for experiments involving different treatments and Identify the source of differences to pinpoint which...
  • Model continuous outcomes that depend on more than one input variable.
What you will learn
  • Use basic statistical concepts on multiple types of data to prepare reports.
  • Solve complex problems with Python - the most essential tools for Finance and analytics-driven companies.
  • Optimize business situations that involve whole numbers, take decisions that involve multiple input variables to predict...
  • Model decisions under a variety of future uncertain states, depending on the decision maker’s proneness or aversion to r...
  • Compute correlation between data points in a time series.
  • Compute the regression model for time series data that has a correlation within itself.
  • Test hypothesis for experiments involving different treatments and Identify the source of differences to pinpoint which...
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 & explore data with graphs. Perform analysis of variance & apply multiple comparison tec...
  • Perform linear regression and assess the assumptions. Use regression model selection techniques to aid in the choice of...
  • Explore data analysis and perform linear regression
  • Illustrate the use of One-Way ANOVA and Two-Way ANOVA
  • Conduct regression diagnostics and find out the influential observations. Identify the use of logistic regression and ta...
  • Interpretive predictive modeling and Adjustments for Oversampling. Demonstrate the use of nonlinearities and multilayer...
What you will learn
  • approach business problems data-analytically. Students should be able to think carefully and systematically about whethe...
  • develop business analytics ideas, analyze data using business analytics software, and generate business insights.
  • Key analytic technologies and techniques, e.g. predictive modeling and machine learning, and how these can play a role i...
  • How to effectively manage the analytical processes and use the results of these processes as the basis for making inform...
  • Apply methods, tools, and software for acquiring, managing/storing, and accessing structured and unstructured data
  • Prepare data for statistical analysis, perform basic exploratory and descriptive analysis, and apply statistical techniq...
  • Apply descriptive, predictive and prescriptive analytics to business modeling and decision-making
  • Demonstrate orally, and in writing, the ability to explain complex analytical models and results
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