If you really think about it, haven’t almost all companies always had a product, and if yes, what is all this sudden buzz around product management roles? Let’s talk a little about what product management means, how is it different from other management domains, and why are they so critical? All of this and much more from an acclaimed Product Management e-book that we’re giving away for FREE!
The Financial Times MBA rankings haven't been great in the past few years for Indian B-schools. Last year, all of the IIMs slipped out of the top fifty with two of them being in the top 60, including IIM Ahmedabad and IIM Bangalore. But that's changed. In the Financial Times MBA rankings of 2024, the IIMs have made up several positions over the last year.
At the core of the Product Management interviews lies the crucial Case Study phase. Common questions that might be asked include identifying customer pain points, developing product roadmaps, analyzing product metrics, prioritizing features, and assessing market competition. Companies use them to test your problem-solving skills by presenting you with a hypothetical scenario and asking you to analyze it and provide a solution.
If you’re a software engineer/developer who enjoys figuring out who your customers are, what their needs are, and why they behave the way they do, switching over to Product Management is an ideal transition. After all, who better to collaborate with a Tech team than someone who has been in their shoes before? But how do you transition from Coding to Product Management and what lies in store for you?
Discover the World of consulting with Bain & Co. and find out where they stand against they peers McKinsey and Boston Consulting Group? Learn about their salary compensation, different career tracks and ways to start your career at Bain & Co.
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?
“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.
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.
If you really think about it, haven’t almost all companies always had a product, and if yes, what is all this sudden buzz around product management roles? Let’s talk a little about what product management means, how is it different from other management domains, and why are they so critical? All of this and much more from an acclaimed Product Management e-book that we’re giving away for FREE!
The Financial Times MBA rankings haven't been great in the past few years for Indian B-schools. Last year, all of the IIMs slipped out of the top fifty with two of them being in the top 60, including IIM Ahmedabad and IIM Bangalore. But that's changed. In the Financial Times MBA rankings of 2024, the IIMs have made up several positions over the last year.
At the core of the Product Management interviews lies the crucial Case Study phase. Common questions that might be asked include identifying customer pain points, developing product roadmaps, analyzing product metrics, prioritizing features, and assessing market competition. Companies use them to test your problem-solving skills by presenting you with a hypothetical scenario and asking you to analyze it and provide a solution.
If you’re a software engineer/developer who enjoys figuring out who your customers are, what their needs are, and why they behave the way they do, switching over to Product Management is an ideal transition. After all, who better to collaborate with a Tech team than someone who has been in their shoes before? But how do you transition from Coding to Product Management and what lies in store for you?
Discover the World of consulting with Bain & Co. and find out where they stand against they peers McKinsey and Boston Consulting Group? Learn about their salary compensation, different career tracks and ways to start your career at Bain & Co.
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?
“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.
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.
