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

In summary, to get an entry level job in the "Big Data" industry, it is important to have a strong background in statistics and data analysis and demonstrate an interest in the field. Starting on sites like kaggle and completing challenges can help establish a good reputation. Additional resources such as online courses and books can also aid in developing skills in data analysis.
  • #1
Jamin2112
986
12
How to get an entry level job in the "Big Data" industry?

I.e. developing algorithms and crunching numbers for Netflix, Twitter, etc.
 
Physics news on Phys.org
  • #2
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.
 
  • Like
Likes D_trol
  • #3
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.
 

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

1. What qualifications do I need to get an entry level job in the Big Data industry?

To get an entry level job in the Big Data industry, you typically need a degree in a related field such as computer science, mathematics, statistics, or engineering. Many employers also look for candidates with experience in data analysis, programming, and database management.

2. What technical skills are necessary for a career in Big Data?

Some of the most important technical skills for a career in Big Data include proficiency in programming languages such as Python, Java, and SQL, knowledge of database management systems like Hadoop and Spark, and experience with data visualization tools like Tableau or Power BI.

3. How can I gain experience in Big Data if I don't have a degree or relevant work experience?

If you don't have a degree or relevant work experience, there are still ways to gain experience in Big Data. You can take online courses or attend workshops to learn the necessary technical skills, work on personal projects to showcase your abilities, and participate in hackathons or open-source projects to gain practical experience.

4. What types of job roles are available in the Big Data industry?

Some common job roles in the Big Data industry include data analyst, data engineer, data scientist, business intelligence analyst, and database administrator. However, there are many other roles that involve working with large datasets and using data to make informed decisions.

5. What are some ways to stand out in the competitive Big Data job market?

To stand out in the competitive Big Data job market, you can focus on developing a specific skill set, such as machine learning or data visualization, and obtaining relevant certifications. Networking with professionals in the industry, showcasing your projects and achievements on a portfolio or GitHub, and staying updated on the latest trends and technologies in Big Data can also help you stand out to potential employers.

Similar threads

  • STEM Career Guidance
Replies
2
Views
2K
Replies
15
Views
2K
  • STEM Career Guidance
Replies
15
Views
2K
  • STEM Career Guidance
Replies
2
Views
2K
Replies
13
Views
2K
  • STEM Career Guidance
Replies
2
Views
2K
  • STEM Career Guidance
Replies
3
Views
1K
  • STEM Career Guidance
Replies
25
Views
3K
Replies
31
Views
4K
  • STEM Career Guidance
2
Replies
35
Views
8K
Back
Top