experfy

Data Science Certificate will generally take less time and cost effective than a master’s degree. its gives more chances to win a great data science Job in I.T Industries.

Big Data Training from Harvard based Experfy. Hands-on training in Hadoop, Hive, Pig and R.

This introductory course on neo4j is targeted to anyone interested in discovering the wonders of graph databases with the leading tool.
The course has three modules.
The first one covers the foundations of the Graph Theory, the comparison between a graph database to a relational database and the origins of neo4j. The lectures allow to understand the concepts of a graph database and how to work with a graph database on neo4j although no Graph Theory is strictly required for so.
The second one, installs and reviews the tool covering the in and outs of the neo4j Browser along with the Cypher syntax basics.
The last module elaborates on the techniques to fetch and modify graph entities. The relevant clauses and functions are covered gradually along with the theory and examples plus the challenges proposed.
Along the course, the students build a strong understanding of neo4j while gaining skills on Cypher query language beyond its fundamentals so to unleash the powerful querying capabilities of graph databases.

Master your Data Management Skills with Experfy. Our Data Science Certification offers Industry leading techniques with advanced practical knowledge. Learn More.

What is Blockchain, Bitcoin, Ethereum, Cryptocurrency and smart contracts. What they mean to finance professionals and the industry. Learn more.

Master Data Science Skills with Experfy. Our Data Science Certification offers Industry leading techniques with advanced practical knowledge. Learn More.

This course will teach you from start to finish how to get your data into R efficiently and polish it up so that it is as good as it can be. This course uses a variety of real-world data sets that contain real-world data quality, formatting, and other issues. It will ensure that you understand not just the R syntax to perform a task, but also sources of quality issues, how to recognize hidden data problems, and the benefits and adverse effects of the most common data manipulations

Learn concepts of Cluster Analysis and study most popular set of Clustering algorithms with end-to-end examples in R

This pig course is a general overview of the Apache Pig Framework. It will include interactive tutorials for processing and aggregating data with Apache Pig.

The purpose of this course is to teach about how to use Python and machine learning in order to predict sports outcomes. It takes you through through all the steps, from collecting data using a web crawler to making profitable bets based on your predicted results.

The course is built around predicting tennis games, but the things taught can be extended to any sport, including team sports.

The course includes:

1) Intro to Python and Pandas.
2) Instructions on how to build a crawler in Python for the purpose of getting stats.
3) Data wrangling.
4) Using machine learning for sports predictions.
5) Discussion on advanced topics, like extension to team sports and using social media, such as Twitter, for additional information.

This course is geared towards people that have some interest in data science and some experience in Python. It does not require extensive coding experience, since all the scripts are provided. No prior experience in data science is required, even though it could be helpful. All the basic concepts are explained within the course.

Skills learned: Machine learning, web crawling, data wrangling and manipulation
Tools used: Python, Pandas, Scikit learn

Course Curriculum
1. Introduction to the course
2. Python and Pandas primer
3. Data crawling
4. Model testing and metrics
5. Data analysis
6. Advanced topics
7. Summary

This course covers end-to-end supply chain management functions, defines decision points and the impact of these decisions to the business enterprise.

The course covers the real world usage and ROI of Big Data preparing managers to make optimal decisions about the use, resourcing, risks, and value of Big Data.

Learn how to produce industrial applications using Hadoop and techniques like Monte Carlo Simulation, Intelligent Hashing, Partition Skew Detection.

This course provides a summary of components which comprise the Microsoft Azure Cortana Analytics suite.

This one-day fast paced deep dive into the Internet of Things is designed for business executives who want to understand what the Internet of Things is and the potential impacts it can have on a business.

Receive Hand-On In-depth Advanced Analytics Training Using SAS.

Learn how to harness data and harvest business value in the insurance industry using analytics. Learn more on descriptive, predictive and prescriptive analytics for insurance.

How to make Hadoop a core of your enterprise information architecture.

Algorithmic Trading Strategies course with certification by Harvard-based Experfy. The instructor has served senior roles at Goldman Sachs, DeutscheBank, Sanford Bernstein, and Citadel.

How to make Hadoop a core of your enterprise information architecture.

The course provides a comprehensive solution for ROI of Big Data. Explains big data management and analytics strategies in non-technical terms.

This pig course is a general overview of the Apache Pig Framework. It will include interactive tutorials for processing and aggregating data with Apache Pig.

Understand how Apache Cassandra works, how its architecture is structured, how to implement security measures, and work on a large spectrum of projects ranging from cluster operations to data modeling, and building applications with Cassandra.

This course covers end-to-end supply chain management functions, defines decision points and the impact of these decisions to the business enterprise.

This course provides a summary of components which comprise the Microsoft Azure Cortana Analytics suite.