How to get an entry level job in the Big Data industry?

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SUMMARY

To secure an entry-level position in the Big Data industry, candidates must possess a strong foundation in statistics and data analysis. Engaging with platforms like Kaggle, which offers numerous challenges in Big Data and machine learning, is essential for building a professional reputation. Recommended resources include OCW's "How to Process, Visualize and Analyze Data," Coursera's "Data Analysis," Davenport's "Enterprise Analytics," and Ratner's "Statistical and Machine-Learning Data Mining." These materials provide critical insights and skills necessary for success in this competitive field.

PREREQUISITES
  • Strong background in statistics
  • Proficiency in data analysis
  • Familiarity with Kaggle for Big Data challenges
  • Understanding of machine learning concepts
NEXT STEPS
  • Explore Kaggle competitions to gain practical experience
  • Complete OCW's "How to Process, Visualize and Analyze Data"
  • Enroll in Coursera's "Data Analysis" course
  • Read Davenport's "Enterprise Analytics" for strategic insights
USEFUL FOR

This discussion is beneficial for aspiring data scientists, recent graduates in statistics or data analysis, and professionals seeking to transition into the Big Data industry.

Jamin2112
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How to get an entry level job in the "Big Data" industry?

I.e. developing algorithms and crunching numbers for Netflix, Twitter, etc.
 
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Jamin2112

I don't know exactly how to get you a job in one of these firms, but you may start by having a very good background in statistics and data analysis, and have shown an interest in the field. For instance, there is a site called kaggle that has a lot of challenges in Big Data and machine learning. Starting there and making yourself a name would be a good step.

Here are a few references of talks/books/courses that may help you:

- OCW's How to Process, Visualize and Analyze Data
- Coursera's Data Analysis
- Davenport's Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data
- Ratner's Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data

Have fun!
J.
 
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That kaggle site is awesome.

A large corporation gets to outsource a problem presumably for a price to Kaggle then data scientists complete this work for the privilege of saying they did it best.
 

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