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Securing the Next Frontier: Understanding Risks and Protections in Agentic AI and MCP
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What Are Real-life Examples Of The Application Of Big Data Analytics?

Sep 13, 2021 |

These days, as the world is getting more and more connected through different types of digital devices, a massive volume of data is getting emanated from a huge number of digital sources. Businesses and organizations from across the globe are leveraging the power of this data and putting it to their advantages. Big data analytics is performed to identify correlations, hidden patterns, and to derive actionable insights that can help businesses make informed decisions.

Data Science vs. Data Mining

Sep 13, 2021 |

As organizations and businesses have started to realize that there’s a huge value hiding in the massive amount of data they capture on a regular basis, they’ve been trying to employ different techniques to realize that value. While the ultimate goal is to produce actionable insights from that data, the tech world is getting filled with a significant number of technical terms. And among all these terms, probably the most talked-about terms are data science and data mining. Though some people use them interchangeably, they come with significant differences. Here’re seven most prominent differences between data science and data mining.

How Do You Build A Data Science Portfolio?

Aug 10, 2021 |

There’re a lot of people trying to step into the field of data science. Unfortunately, many of them often overlook one of the most critical aspects of landing up a good job in the field – the importance of building a strong data science portfolio. While having enough knowledge about different data science techniques and a good number of certifications are surely critical, unless you have a strong data science portfolio, your chances of coming under the radar of recruiters aren’t extremely high. Here, we’ve jotted down the key aspects of building a solid data science portfolio that would make your journey a tad easier.

The Most Powerful Idea In Data Science

Aug 10, 2021 |

In the tech fields these days, there’re a huge number of people trying to embark on different types of new paths that eventually lead to having a career in the field of data science. Undeniably, the goal is a worthy one, but it’s also important to have a clear idea about the key goal of data science. In this post, we’ll be trying to explore it. Let’s start the discussion.

What Are The Advantages And Disadvantages Of Big Data?

Aug 10, 2021 |

In today’s business landscape, big data has become the most valuable asset for any business. The more a business can harness big data, the better its position becomes from where it can carry out analysis that helps to develop useful business decisions. Across every industry, big data is being heavily used to predict future trends, recognize patterns, and draw new conclusions. However, like every technological advancement, big data also comes with equal shares of advantages and disadvantages. Let’s have a look at them.

Data Analysis Tools That You Use to Perform

Aug 10, 2021 |

Data analysis comes with the goal of deriving useful information from data, suggesting conclusions, and supporting critical business decision making. There’re lots of data analysis tools that can be utilized to help a business to get a competitive edge. If you’re trying to step into the field of data analysis, it’s extremely important to have a good working knowledge of the most commonly used data analysis tools. In this post, we’re going to discuss five such tools by learning which you’d be able to propel your career in data analysis.

What Is The Structure Of Big Data?

Aug 10, 2021 |

In the last few years, big data has become central to the tech landscape. You can consider big data as a collection of massive and complex datasets that are difficult to store and process utilizing traditional database management tools and traditional data processing applications. The key challenges include capturing, storing, managing, analyzing, and visualization of that data.

Prepare For The Future With Machine Learning

Aug 10, 2021 |

In recent years, machine learning has been one of the most talked about tech topics and is being applied to businesses widely. Put simply, this application of artificial intelligence allows computers to learn and improve without being programmed directly. The revolutionary technology presently forms a highly crucial aspect of countless established, as well as, burgeoning industries. Let’s have a look at the key reasons why you should start preparing now to become a machine learning professional.

What Is A Good Data Science Project?

Jul 14, 2021 |

A significant number of newcomers in data science tend to spend a huge amount of time to develop theoretical knowledge and earn certifications only. While theoretical knowledge is certainly required to become a good data science professional, recruiters don’t put much emphasis on certifications only. Instead, they tend to evaluate the potential of a candidate by going through his/her work.

Is Being A Data Analyst A Step To Becoming A Data Scientist?

Jun 16, 2021 |

Being a data analyst would mean you’ll have several skill-sets that one needs to work in the domain of data science. However, it doesn’t mean you can easily jump from your data analyst career into the role of a data scientist. Before discussing if being a data analyst could act as a step to becoming a data scientist, let’s take a look at what each of these professionals do.

Recent Article

A Simple Introduction To Natural Language Processing

A Simple Introduction To Natural Language Processing

Jun 16, 2022 |

Among all the capabilities of artificial intelligence, probably the biggest one is its ability to extract meaning from human language. And natural language processing (NLP) is the subset of artificial intelligence that makes this possible. You can consider natural language processing as a method for machines to analyze, understand, and obtain meaning from human language in an effective and smart way.

Reasons Why You Should Become A Data Scientist

Reasons Why You Should Become A Data Scientist

Jun 15, 2022 |

Today, data science has become an exciting and growing field – thanks to the emergence of Big Data and the need to gather and preserve the data being generated. The need for data scientist certification among organizations, whether large or small, is opening a huge door for professionals who synthesize a huge amount of data and process it in a way beneficial for companies. If you need to be more convinced about why you should aim to become a data scientist, and the data scientist career path. Here’re the ten key reasons to consider.

7 Key Advantages Of Getting Hired By Tech Giants

7 Key Advantages Of Getting Hired By Tech Giants

Jun 15, 2022 |

In today’s technology-driven world, the war for top talent has become absolutely fierce among global tech giants (Google, Microsoft, Apple). With the job market getting tighter, these giants have started raising their already stratospheric salary offerings (like the salary of the Data Scientist). They’re striving to attract and retain top talents by crafting undeniable offers coupled with a working environment where employees can thrive. Here, we’ve outlined some key advantages that you can relish by getting recruited by the tech giants.

Top 4 Benefits Of Bootcamps Over Online Courses

Top 4 Benefits Of Bootcamps Over Online Courses

Jun 15, 2022 |

Whether you want to learn a new skill for a probable career change, or hone an existing skill for better job opportunities, there’s always a battle between what to choose – a bootcamp or an online course. If you too are facing the same dilemma, we would suggest you to opt for bootcamps (like Data Science, Machine Learning etc). Wondering why? Here are the top four benefits bootcamps have over online courses:

How Essential Is A University Degree For Finding A Job In Data Science?

How Essential Is A University Degree For Finding A Job In Data Science?

Jun 15, 2022 |

The increasing buzz around data science has already attracted a lot of computing enthusiasts and the demand for data science professionals seems to go up with each passing day. In addition, the gap between the availability of skilled professionals and the demand is quite substantial, which makes it even more of an exciting career path.