Power Your Business Through Data

If your team is feeling limited by the constraints of Excel to predict and analyze data, then Predictive Business Analytics course is exactly what your team should look for. This course will prepare your team to unlock hidden insights from your company’s data to improve overall efficiency, financial performance and strategy.

Modules include:

• Learning R
• Statistics and Analysis on R
• Linear Regression
• Logistics Regression
• Time Series Modeling
• Market Basket Analytics
• Decision Trees
• Clustering
• Python for Analytics

Companies, today, cannot afford to turn a blind eye to machine learning anymore. Our Machine Learning Course will introduce your team to the basic models and algorithms to automate business processes and improve efficiency. Predict your website traffic, forecast competitive risks, improve marketing strategy and do much more with Machine Learning.

Modules include:

• Machine Learning Overview
• Ridge and LASSO Regression
• Poisson Regression
• Model Comparison
• Deep Learning

EduPristine Advanced Machine Learning Course will help your team to hone their business forecasting and decision-making skills with the use of Advanced Machine Learning. This comprehensive course will enable your team to delve into the fundamental concepts on machine learning algorithms on a deep and intuitive level. We will help you with the practical examples on real-data so that your team can apply those concepts immediately in their work.

Modules include:

• Supervised Algorithm
• Unsupervised Algorithm
• Ridge Regression and LASSO
• Support Vector Machines
• Boosting Methods
• Project with Explanation

Data Visualization with R is an important visual method for effective communication and analyzing large datasets. The EduPristine Data Visualization course will help your team to create amazing data visualizations using the R tool. By doing Data Visualization in R, you can integrate cutting-edge machine learning technology or customize algorithms to build robust models.

Modules include:

• The visualization design methodology
• The Data Visualization Process
• A quick introduction to base R-Graphics
• Different Plot types
• Scatter Plot, Histogram, Bar/Stack Bar chart, Box Plot, Area chart, Heat Map, Correlogram
• Adding/Managing plot types, positions, fonts, etc.
• Managing visual complexity
• Case studies

Data Visualization with Tableau course is designed to help your team to understand and use the important concepts and techniques in Tableau to move from simple to complex visualizations and learn how to combine them in interactive dashboards. Tableau is essential to use when your company uses multiple file types and needs access to pre-built connections to multiple services.

Modules include:

• Introduction to Data Visualization
• Understanding Tableau
• Tableau Basics
• Tableau – Advance
• Creating a Fully Functional Dashboard Solution (Case Study)
• Dashboard best practices
• Assignment

Python is a common language for data analysis, and easy to learn platform for Data Visualization. We will help your team to establish your team’s mastery in data visualization using the Python tool. If your team requires real-time streaming data, then this is an apt course for your team. Python is also a great tool in sharing exploration with group of people, organize, analyze and transform into actionable insights.

Modules include:

• The visualization design methodology
• The Data Visualization Process
• Comparative analysis of different visualization tools
• Introduction to Data Visualization tools
• Specialized Visualization tools
• Analyzing time series and images
• Dashboarding best practices

The Data Visualization with QlikView course will enable your team to visualize data, share compelling stories, and collaborate decisions in a very innovative way. Due to QlikView superior mobile experience, you can access your dashboards anytime, anywhere. Get social and real-time business discovery options with QlikView tool.

Modules include:

• Introduction to Visualization
• Introduction to QlikView
• QlikView Products
• Introduction to Data Scripting
• Loading Data from Database
• Structuring the Script
• Basic data model and Table viewer
• Data Modeling and Consideration
• QlikView Data Files (QVD)
• Creating Master Calendar

Adopt Big Data as a part of your company’s business strategy for improved operational efficiency, fraud and compliance, customer experience and new business models. Our Big Data & Hadoop course will help your team achieve a great framework to analyze large volumes of data with the help of parallel processing that speeds up the time taken to analyze data. Your team will get to analyze high latency data access across large files to help generate insights. Leverage Big Data to gain a competitive advantage over your competitors.

Modules include:

• Introduction to Big Data Hadoop
• Unix and Python
• JAVA
• Introduction to Hadoop Distributed File System (HDFS).
• SQOOP
• Map Reduce
• HIVE
• PIG
• SPARK
• Oozie
• HBASE
• Zookeeper

There are some things that truly are “one size fits all”, but for corporates, this approach is not the correct system. Every company is unique in their own ways, have different goals and challenges to meet. We, at EduPristine, understand that well. Now, you can choose any of the topics mentioned below to create the best suited program for your team. With Customized Data Science courses, you have the power to choose and help your team fill the skill gaps as and when required.

• Excel essentials for Analytics
• Working with R-Studio
• Analytics on R
• Analytics on Python
• Linear Regression
• Decision Trees
• Logistics Regression
• Supervised and Unsupervised learning
• Ridge Regression
• Market Basket Analytics
• Time Series Modeling
• Machine Learning
• Financial Analytics
• Data Visualization on R
• Data Visualization on Python
• Tableau: Data Visualization
• QlikView: Data Visualization
• Big Data Hadoop
• HDFS
• JAVA/Python
• PIG
• HIVE
• Sqoop
• HBASE
• Zookeeper
• Spark
• Spark with Scala
• Soft skills
• Any other Topics/Modules of your choice.