Data Analysis

Data Analysis

Data Analysis is one of the most important processes that businesses can leverage to make the right decisions. 

HN Brain Works trainings on Data analysis helps everyone to understand the various techniques to explore data in meaningful ways. Data in itself is merely facts and figures. Data analysis organises, interprets, structures and presents the data into useful information that provides context for the data. 

SQL

SQL makes all your data available in one place.

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Data Cleaning

Simple algorithms can even learn impressive insights from the data.

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Data Grouping

Convenient way of summarizing or analyzing the data

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Data Storage

Organising data with security needs a degree of planning and knowledge

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Learn to Create Databases from Scratch

Getting equipped to handle and harness huge volume of data efficiently is a huge boost to your career.

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Creating and Understanding a Regression

The road to data analysis starts with Regression. Are you ready to understand?

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Standard Deviation and Variance

These helps the business to predict the financial crisis and unstability.

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Classification of Data Analytics Tools

Analytics isn’t just the way of the future, it’s the way of right now!

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Correlation and Causation

Lay out a systematic process to make strategic decisions about innovative product or services.

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Fundamental of Statistics

How we make discoveries in science, make decisions based on data, and make predictions.

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Data Types, Files, and Formats

Diversity of data and their management needs across the research data life cycle

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Introduction to Data

Insights into how to apply data and analytics principles in your business.

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Key Data Analytic Concept and Terminology

Analyzing raw data in order to make conclusions about that information

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Roles and Skills of Data Professionals

 Benefits and different job roles that will give you the reasons to start

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The Data Analytics "Tool Triangle"

Gather hidden insights, generate reports, perform market analysis.

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Data Governance, Privacy & Quality

Data analytics practices executed in the business world.

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Introduction to Data Analysis

In-demand and lucrative career and you don’t need to be a math whiz to do it. 

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Data Visualization

Visual summary of information identify patterns and trends.

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GIS Data Acquisition

GIS data for your own projects, and how to create a well-designed map.

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SAS Programming

Demonstrated skills in manipulating and transforming data.

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Pivot Table

Pivot tables helps to summarize data in a quick and easy manner.

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VBA and Macros

VBA and Macros helps in doing tedious and complex office task.

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Advance Excel

Complete your tasks and analyze your data more quickly.

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Map Designing

Planning of graphic characteristics of maps including the symbols.

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Data Analytic for Six Sigma

Data analytics techniques that are typically useful within Lean Six Sigma improvement projects.

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Python Data Analysis

The demand for experts with Python skills is on the rise.

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Data Analysis with Google Data

Learning opportunities to help you take your skills to the next level. 

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Data Analysis with Tableau

Creating reports and dashboards for others in the organization to consume or iterate on.

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Data Analysis with SPSS

Analyze survey data and mine text data so that they can get the most out of their research projects.

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Financial Forecasting for Big Data

Giving business people practical methods to create relevant business forecasts

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Big data and SQL

Gaining the skills necessary to query big data with modern distributed SQL engines 

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Action Value Chain

 Framework for understanding the process by which data is converted into real actions

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