Team Oct 19, 2022 No Comments
In the HR (Human resource) niche, decision-making is changing. At a time when the traditional ways of operating HR are no longer sufficient to keep pace with the new technologies and competition, the field is at crossroads. This is a perfect case study to find out the effectiveness of analytics in HR.
When we talk about analytics in HR there are many facets that come into play. HR analytics aims to offer insight into how effectively to manage employees and attain business goals. Because so much data is accessible, it is crucial for HR teams to initially identify which data is most relevant, along with how to use it for optimum ROI.
Modern talent analytics mix data from HR and other business operations to address challenges related to:
So, a leading Multinational Professional Service Company reached Ivy Professional School for upskilling of their HR department to obtain optimum benefit from their operations.
Upskilling as the name suggests implies taking your skill to a next level. This has various benefits for any organization and the individual as well. Upskilling is very crucial as it:
Each employee searches for a purpose in their work, and innovation comes its way when the goal of the organization aligns with individual career aims.
When an employee leaves an organization, you must fill that position, which again starts the hiring and recruiting processes.
Along with upskilling, this analytics program is aimed at creating domain knowledge among the employees in the HR department. Domain knowledge is basically the knowledge of a specific, specialized discipline or niche, in contrast to general (or domain-independent) knowledge.
Considering the characteristics of the job profile and the expectations set by the company, a special curriculum was created.
Analytics in HR is reaching new horizons now. By using people analytics you don’t have to depend on gut feeling anymore. So now many organizations are inclining towards upskilling their employees in the HR department so that they get a good domain knowledge and become a more valuable resource of their company.
You can also reach out to us if you want us to organize similar analytical programs for your organization. Please email us your requirement at info@ivyproschool.com
Team Sep 21, 2022 No Comments
Updated on August, 2024
Data science interviews can be scary.
Just imagine sitting across from a panel of serious-looking experts who are here to judge you. Your heart is racing, your palms are sweating, and you start breathing quickly. You can feel it.
It’s normal to feel a little overwhelmed in interviews. But here’s the good news: You can overcome this fear with the right preparation.
In this blog post, I will guide you through the essential steps and useful tips for data science interview preparation. This will help you walk into the room feeling confident and positive.
But before that, let’s first understand this…
The simple answer is data science interviews can be challenging. You need to prepare several different topics like data analysis, statistics and probability, machine learning, deep learning, programming, etc. You may have to revise the whole data science syllabus.
And these technical skills aren’t enough. You also need good communication skills, business understanding, and the ability to explain your work to business stakeholders.
You know the purpose of a data science interview is to test your knowledge, skills, and problem-solving abilities. If you haven’t brushed up on your skills recently, it can be a lot of work. So, let’s start from the beginning…
As I said earlier, preparation is the key to success in data science interviews. And it all starts with a strong foundation that involves:
If you don’t have these, you can join a good course like Ivy Professional School’s Data Science Certification Program made with E&ICT Academy, IIT Guwahati.
It will not only help you learn in-demand skills and work on interesting projects but also prepare for interviews by building a good resume, improving soft skills, practicing mock interviews, etc.
Besides, you will receive an industry-recognized certificate from IIT on completion of the course. This will surely boost your credibility and help you stand out in the interview.
Now, I will share some tips for data science interview preparation that have helped thousands of students secure placements in big MNCs.
These tips will boost your preparation and help you understand how to crack a data science interview like a pro.
This is the first and most important thing to do. Why? Because it will show the interviewer that you are serious about the opportunity. It will also help you provide relevant answers and ask the right questions in the interview.
All you have to do is go to the company’s website and read their About page and blog posts to understand their products, services, customers, values, mission, etc. Also, thoroughly read the job description to understand the key skills and responsibilities.
The goal is to find out how your knowledge and experiences make you a suitable candidate for the role.
Your resume is your first impression. It helps you stand out, catch the interviewer’s attention, and show why you are the right fit for the job. So, you have to make sure it’s good.
What do you mention in your resume? Here are some of the important sections:
Here’s the most important thing: Tailor your resume according to the company’s needs, values, and requirements. That means you should have a different resume for each job application.
What projects you have worked on is one of the most common areas where interviewers focus. That’s because it directly shows how strong a grasp you have over data science skills and whether you can use your skills to solve real-world problems.
So, go through each project you have listed in your data science portfolio. See the code you wrote, the techniques you used, the challenges you faced, and the steps you took to solve the problem. You should be able to explain each project clearly and concisely, from the problem statement to the results you got.
Technical interviews are where the interviewer evaluates whether you have the skills and expertise to perform the job effectively. For this, you need a solid foundation of the latest data science skills.
You should revise all the tools and programming languages like Excel, SQL, Python, Tableau, R, etc., which you have mentioned in your resume. Besides, go through the core concepts like data analysis, data visualization, machine learning, deep learning, etc.
Pro tip: Learn from the data science interview experience of people who have already cracked interviews and secured placements. For instance, this YouTube video shares the experience of one of Ivy Pro’s learners who cracked the interview at NielsenIQ:
I can’t emphasize the importance of this step. Being prepared helps you answer effectively and make a lasting impression.
So, find common questions asked in data science interviews and prepare clear and concise answers. Here are some technical and behavioral questions:
These are just examples. You can do your research or ask professionals in your network to find the most common questions. This will surely make you more confident about your data science interview preparation.
Albert Mehrabian, a professor of Psychology, found that communication is 55% body language, 38% tone of voice, and 7% words only.
So, while your technical skills and experience are important, your body language can make or break your chances of success in the interview.
Here are simple ways to improve your body language:
Your body language shows your confidence and attitude, so try to make it perfect.
Mock interviews can boost your data science interview preparation. It helps you improve your answers and body language, increase confidence, and get used to the scary interview environment.
You can simply practice it with your friends or do it alone by recording yourself while you speak. But the best way to do it is to join a course where they let you practice mock interviews.
For instance, Ivy Pro’s Data Science Course with IIT Guwahati helps you practice mock interviews and learn soft skills. This way, you get feedback to understand your strengths and areas of improvement.
Now, you know how to prepare for a data science interview and crack it with confidence. You need to build a strong foundation in relevant skills, gain hands-on experience, and create a compelling portfolio. Your technical expertise, body language, and attitude are what will help you stand out and land your dream job. So, get started with it. The stronger the preparation, the more your chances of success.
Prateek Agrawal is the founder and director of Ivy Professional School. He is ranked among the top 20 analytics and data science academicians in India. With over 16 years of experience in consulting and analytics, Prateek has advised more than 50 leading companies worldwide and taught over 7,000 students from top universities like IIT Kharagpur, IIM Kolkata, IIT Delhi, and others.
Team Jun 12, 2022 No Comments
The CEO of LinkedIn Jeff Weiner had once said that “Data really powers everything that we do.” Data is indeed everywhere, starting from healthcare to search engines. With so many complexities and unpredictabilities in the world of business, there has been an increasing need for analyzing, cleaning and manipulating data. This is where Data Science comes in. Data Science is defined as the field
Team Nov 06, 2021 No Comments
Today, we are going to learn about one of the most interesting and exclusive concepts that apply everywhere in business applications: Case Studies. A case study is an important and useful way to learn about the practical applications of business using science models. These science models are usually those which help us apply logic to business scenarios. Our very t
Anubinda Oct 16, 2021 No Comments
How Artificial Intelligence Can Improve Your Pay-Per-Click Ad Efforts:
Improving your PPC efforts is much easier when you implement A.I. in your strategy. Because of this, humans are still highly involve
Anubinda Oct 01, 2021 No Comments
In this blog, we will be covering the conversation of Eeshani Agarwal and Ruchika Saha, who bring us the second episode of the Learn to Visualize series where we are going to learn about Dashboard Actions. Eeshani Agarwal (Data Storyteller and Data Visualization Expert (Tableau, PowerBI, VBA, SQL, Excel). Coached 9,000
Anubinda Sep 24, 2021 No Comments
Elon Musk announces humanoid robot Tesla Bot that uses artificial intelligence :
Billionaire Elon Musk has announced that Tesla is working o
UsernamE Aug 15, 2021 No Comments
What is Tableau?
Tableau is a visual analytics platform that helps people and organizations to make the most of their data to solve business problems. Tableau was founded in 2003 which aimed at making machine learning, statistics, natural language, and smart data prep more useful to augment human creativity in analysis.
UsernamE Aug 15, 2021 No Comments What is R? R is a programming language that comes long back from 1995. Created by Ross Ihaka and Robert Gentleman at the Auckland University, New Zealand, R is an open-source language that extends its uses for statisticians and data scientists. They are the ones who create and develop applications based on statistics and Is it still worth studying R in 2021?
UsernamE Jul 30, 2021 No Comments
Artificial intelligence(AI) and Data Science are ready to transform our unimaginable lives years ago. For that reason, Data Science and Artificial Intelligence have become the “trending topics” in every article of 2021. While everyone is able to interpret the actual reason for the wave of such a lucrative job