Magnimind Academy
Blog
Launch your new career with Magnimind


Springboard vs. Magnimind: Which Bootcamp Is Right for Your Tech Career in Palo Alto?
May 20, 2025 | Career Advancement, Uncategorized
Dreaming of a career in data science, AI, or software engineering? Whether you're starting fresh or changing careers, bootcamp can offer a fast,...
Most Popular
Data Science Masters
Oct 25, 2021 | Data Science Blog
In recent years, big data has been topping the trends in the technology landscape and today, data scientists are experiencing a very high demand. As big data has started to integrate into businesses, these data science masters have come to the forefront of the tech domain. You may wonder what these people actually do because of which organizations pay them an enviably fat pay packet. These data science masters hold the ability to gather huge amounts of data and analyze that to derive actionable insights for organizations they work in. On any given day, such a professional is a statistician, a mathematician, a programmer, and an analyst.
Data Science Training Provides Hot Dip Topics That Is Relevant To Data And Data Science
Oct 25, 2021 | Data Science Blog
Data science is called the 21st century’s sexiest job. With the plethora of data that gets created today, it has become important for businesses and organizations to draw useful insights from them, which can help them make data-driven decisions. According to a report by DOMO, every single day, more than 2.5 quintillion bytes of data get created. This is set to grow as by 2020, 1.7MB of data is estimated to be created each second for each person on earth. Thus, there’s no shortage of data out there. However, getting the ability to access it and leverage it by acting on it – wherever, whenever, and however you need, is a different ballgame altogether. And since data science facilitates this, it has emerged as one of the hot dip topics in the modern era.
Data Scientist Salary Is Immersive With 3 Steps
Oct 25, 2021 | Data Science Blog
Harvard Business Review called the position of data scientist the 21st century’s sexiest job. No wonder that in the IT industry, data scientists rank among the highest paid professionals. However, there are three key immersive data scientist salary factors that a person should take note of in order to ensure he/she gets the desired salary. It’s important to note here that despite the attractive salary quotient, the field of data science isn’t an easy one. So, unless one is really driven to work with data and ready to work hard to acquire the requisite knowledge and skills, he/she shouldn’t consider joining this domain, especially when driven only by the high salary factor. For example, the top skills you will need to make it big in the field of data science are Python, statistical analysis, Java, and Hadoop.
How Data Scientists Can Improve Data Skills?
Oct 25, 2021 | Data Science Blog
With the emergence of data science, the present business domain has become logical like never before. They now correlated occurrences and events rationally to identify the cause of problems and come up with possible solutions. As a massive amount of data is being generated by organizations, the search for skilled data scientists has increased exponentially.
How Long Does It Take To Learn Data Science Totally For Finding A Good Job?
Oct 25, 2021 | Data Science Blog
If you decide to learn data science just for the sake of landing a good job, you may lose steam midway unless you are passionate enough about the domain, have a clear idea of what you want to do, and a roadmap that would let you achieve your goals. If you love the wide variety of data that gets generated today and want to learn how it can help you take real-world, data-driven actions, data science is the field you should consider to get into. But before answering how long it would take you to learn data science to land a good job, it’s important to know where you are in your journey and what skills you need to acquire to meet your career goals.
What Are The Differences Between Deep Learning And Usual Machine Learning?
Oct 25, 2021 | Deep Learning Blog
In recent times, both the terms ‘machine learning’ and ‘deep learning’ are creating a huge buzz around the AI landscape. The world is steadily becoming an artificial intelligence-first one where digital assistants together with other services act as our primary source of information. This concept is backed by the two terms we just mentioned. Both deep learning and usual machine learning are methods of teaching AI to perform tasks.
What Does It Take To Become A Top-notch Data Scientist?
Oct 25, 2021 | Data Science Blog
Unquestionably, the career as a data scientist is one of the most promising options these days and it’s driving a huge number of enthusiasts to become a part of this community. Data science courses are being taken up by people across the globe. In addition, enthusiasts are also making transitions – coming to data science from different departments. However, the rise in the popularity of the career as a data scientist isn’t only generating lots of opportunities but creating a lot of competition as well – for both aspiring data scientists and those who are already working in the field. So, these days, the major question is how ‘to become a top-notch data scientist’ to stand out of the pack.
What Would Be The High Paying Future Jobs For Data Scientists?
Sep 16, 2021 | Data Science Blog
Data science features significantly when you talk about high paying future jobs. To understand what’s driving this trend, which experts say will only grow bigger with time, you have to know how the technology landscape has experienced tremendous growth and undergone a sea change over the last few years, thanks to a high degree of reliability on computer programs, data-based analysis, and digital technology. Working with huge sets of data and making data-driven decisions, in particular, have become a norm in most sectors – from banks and fintech to transportation, IT, and more. After all, almost each interaction with technology has data at its core. Thus, be it your online purchase at marketplaces like Amazon, streaming recommendations for you on Netflix or Amazon Prime, your Facebook feed, or even the facial recognition necessary to sign into your phone, almost everything leverages data to perform certain operations. No wonder why data science is the flavor of the season. Experts in the domain of data science predict that in several companies and industries that are less tech-forward than others, where data science today plays a supportive (or back-office) role in the business, the scenario will change soon in the future as these companies and industries get ready to access a huge amount of data – both structured and unstructured, as well as feedback loops. And that’s what makes the job of data scientists one of the most coveted ones in today’s world.
How People Use Data Modeling With Advantages In Everyday Life?
Sep 16, 2021 | Data Science Blog
Data modeling stands for the process of developing a descriptive diagram that demonstrates relationships between different types of information which are to be stored in a database. It’s a theoretical presentation revolving around data objects and associations between different data objects. Data modeling is an important skill for every data science professional, whether one is architecting a new data store or doing research design for his/her organization. To excel in this key component of data science, one needs to have the ability to think systematically and clearly about the major data points to be stored as well as retrieved, and how they need to be related and grouped.
Deep Learning And Its 5 Advantages
Sep 16, 2021 | Deep Learning Blog
Over the past few years, you probably have observed the emergence of high-tech concepts like deep learning, as well as its adoption by some giant organizations. It’s quite natural to wonder why deep learning has become the center of the attention of business owners across the globe. In this post, we’ll take a closer look at deep learning and try to find out the key reasons behind its increasing popularity.
What Is The Role Of Data Science In Everyday Life And Every Situation?
Sep 16, 2021 | Data Science Blog
There’re lots of people who closely associate data with privacy issues, data leaks, and profit maximization techniques. Also, terms like data science, analytics, statistics, databases etc are ones that most people associate with the professional world exclusively. However, all these and many of their associated ones aren’t meant for data science professionals only. In reality, most people experience the role of data science in their day-to-day lives and in almost every situation. From new friend suggestions by Facebook to Google’s help to complete a search phrase to television shows predicted by Netflix in accordance to your preferences, and many more – data science is being used by common people in almost every situation.
Sign up to stay up-to-date with the latest developments and insights, and join the community of forward-thinkers today
Recent Article
Comparing The Top Three RDBMS For Data Science: Microsoft SQL, MySQL, And PostgreSQL
Jan 30, 2023 | Data Science Blog
According to the Stackoverflow community survey in 2022, the respondents were asked which database environments they have done extensive development work in over the past year, and which they want to work in over the next year. Even though below answers have a mingle of relational database management systems with the others, in this article, we will compare the top three RDBMS: Microsoft SQL, MySQL, and PostgreSQL.
Ten Things That You Need To Know In Statistics: The Fundamentals of Statistics
Jan 26, 2023 | Data Science Blog
In this post, we’re going to discuss ten essential things that you must understand to excel in statistics. These include concepts, equations, and theorems that will not only greatly help you pursue data science but prove your understanding of statistics as well.
Unlocking The Power Of Soft Skills In Data Science
Jan 25, 2023 | Data Science Blog
Data science is a rapidly growing field that combines statistics, computer science, and domain knowledge to extract insights and predictions from data. While technical skills such as programming and machine learning are important for data scientists, soft skills -personal attributes and interpersonal abilities- are also crucial for success in this field.
The Role Of Data Science In Cybersecurity And In Protection Against Online Threats
Jan 24, 2023 | Cybersecurity Blog
The field of data science can play a crucial role in cybersecurity by helping to identify, analyze, and mitigate online threats. By leveraging data science techniques, organizations can analyze large datasets generated by network and security systems to identify patterns and anomalies that may indicate a potential threat. In this article, we will briefly discuss how data science can help in assuring security.
Conscious Awareness For Cyber Security
Jan 23, 2023 | Cybersecurity Blog
Consciousness is an important condition in terms of human life and interaction with the environment. It is the state of being aware of the individual (him/her)self and his/her environment, his/her past memories and current feelings and thoughts. In the state of consciousness, the individual is attentive and vigilant. It can perceive the stimuli in the environment faster and turn them into information.
Does Cyber Security Really Matter?
Jan 17, 2023 | Cybersecurity Blog
Cybersecurity has become a trend in recent years due to the increasing reliance on technology and the internet in all aspects of life. With more and more personal and sensitive information being stored and shared online, there is a greater need to protect this information from unauthorized access and cyber threats.