Data Science

15 articles
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Career Transition To Data Science | What Do Recruiters Look For In A Candidate?

Career Transition To Data Science | What Do Recruiters Look For In A Candidate?

One of the most prevailing concerns among professionals considering a career change to Data Science is “Do I need a technical background to enter the field?” The answer is a definite no. Having said that, you will need to hone in on some fundamental coding and mathematics. So, why do you have to pursue your dream job as Data Scientist? What are the skills recruiters are looking for in a candidate? The better question would be how do you do it?

Team InsideIIM
Python For Data Science: A Comprehensive Guide To Getting Started

Python For Data Science: A Comprehensive Guide To Getting Started

“Today with data science, for a lot of it you don’t have to have a Ph.D. anymore. You don’t have to spend years and years studying something. The runway is a lot shorter this year for data science...now all you really have to know is Python and have a basic understanding of what’s going on and it’s pretty remarkable where you can go.” - IBM Data Scientist Joseph Santarcangelo.

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How To Write An Outstanding Data Science Resume | What Do Recruiters Look For?

How To Write An Outstanding Data Science Resume | What Do Recruiters Look For?

In the fast-paced world of data science, a well-crafted data science resume is the key to unlocking exciting career opportunities. As we enter 2023, the demand for skilled data scientists continues to soar, making it crucial to present yourself effectively through your data science resume. With an average applicant-to-interview ratio of around 20:1 for data science positions, recruiters receive a large number of resumes for limited interview slots, highlighting the importance of a standout data science resume. Whether you're a seasoned professional or just starting your career, understanding how to write a compelling data science resume is essential to stand out in this competitive job market. Let's explore the skills that recruiters are looking for and tips & tricks that will make your data science resume shine in 2023.

Team InsideIIM
10 Must-Try GitHub Data Science Projects for Data Enthusiasts

10 Must-Try GitHub Data Science Projects for Data Enthusiasts

Data science is a rapidly evolving field that combines statistical analysis, machine learning, and programming to extract valuable insights from vast amounts of data. One of the best ways to improve your data science skills is through hands-on projects. Fortunately, GitHub provides a treasure trove of open-source projects where you can find inspiration, learn from others, and contribute to the data science community. In this article, we present the top 10 GitHub Data Science projects that will empower you to enhance your skills and deepen your understanding of this dynamic field. These projects cover a diverse range of topics, including machine learning, natural language processing, recommendation systems, fraud detection, and more. By exploring these projects, you can gain practical experience, understand different techniques and algorithms, and hone your data science skills.

Team InsideIIM
Master Your Data Science Interview: 40 Key Questions & How to Answer Them

Master Your Data Science Interview: 40 Key Questions & How to Answer Them

Job Interviews! We can assure you that they’re not everyone’s cup of tea and most of us were thrown off guard either by a tough question or by unawareness of the topic. How do you ensure you are ready for the storm? What is your preparation process? If you are looking forward to making a breakthrough in the career of Data Science then these questions are relevant to you as well. A career in Data Science is a promising one with an extremely competitive salary. There has never been a better time to learn Data Science. Let's get started with the top Data Science interview questions you should be prepared for!

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Chat GPT For Data Science Cheat Sheet: 45+ Actionable Prompts

Chat GPT For Data Science Cheat Sheet: 45+ Actionable Prompts

In the realm of data science, the demand for AI-powered technologies is surging. Data scientists, burdened with vast amounts of data, often resort to numerous tools for handling and processing. Enter OpenAI's ChatGPT, a game-changer. This article delves into the transformative potential of Chat GPT for Data Science, unveiling the profound impact it can make in the field.

Team InsideIIM
Data Science | InsideIIM