This includes tasks such as removing duplicates, handling missing data, correcting errors, formatting data and merging data from different sources.

Data wrangling makes sure that the data is accurate, consistent, and ready for analysis. Without proper data wrangling, data analysis can be unreliable and misleading, leading to incorrect conclusions and decisions. In this article, we will look at the most common data handling methods used in various stages of data wrangling.

Stage 1: Data Cleaning

This first step in data wrangling entails locating and addressing issues with the data’s quality, such as outliers, missing values, and inconsistencies. Cleaning data can be accomplished in a number of ways, including:

Removing missing values: Missing values can skew analysis results. To address this problem, missing values are either removed or replaced with a value that reflects the nature of the remainder of the data points.

Handling outliers: Extreme values that are significantly outside of a dataset’s typical range are known as outliers. By skewing the statistical measures used, outliers can affect the analysis results. To deal with outliers, you can either get rid of them or make them less extreme.

Resolving inconsistencies: Typos, different data formats, or errors in data collection can all lead to data inconsistencies. They can be fixed by using data validation rules to find and fix errors and standardizing the format of the data.

Stage 2: Data Transformation

Data transformation entails changing the data’s original format to improve the data analysis. Data transformation can be accomplished in a number of ways, including:

Normalization of data: The process of normalizing data entails scaling the data so that it falls within a predetermined range. Data normalization is used when variables forming the data have different units of measurement.

Aggregation of data: Combining data from multiple sources or summarizing data at a higher level of granularity are examples of data aggregation. As a result of data aggregation, data may become simpler to analyze.

Encoding data: The process of converting categorical data into a numerical format that can be used in the analysis is known as data encoding. This method is frequently used when the data contains non-numeric values like gender or product category.

Stage 3: Data Preparation

Data preparation is the final stage of data wrangling. Preparing the data for analysis entails selecting appropriate variables, inventing new variables, and formatting the data. Data preparation can be done in a number of different ways, including:

Variable selection: Variable selection entails removing irrelevant variables and locating the most important variables for analysis. Variable selection may improve the accuracy of the analysis and simplify the data to create a more parsimonious model.

Engineering features: New variables are created using the dataset’s existing variables in feature engineering. New features may bring out hidden patterns and improve the accuracy of the analysis.

Conclusion

Because it ensures that the data are in a format that is suitable for analysis, data wrangling is an essential step in the data science pipeline. There are a number of methods that can be used at each stage of the process, which include cleaning, transforming, and feature selection. Data wrangling improves the data quality prior to analysis and helps data scientists derive more accurate insights.

The post Data Wrangling: Preparing Data For Analysis first appeared on Magnimind Academy.

Recognize the Fundamentals of Data Science

The programming languages Python and R, which are frequently used in data science, should also be familiar to you.

Discover Statistics

You need to comprehend the fundamentals in order to learn data science. Data science requires statistics to function. It offers the methods and tools needed to analyze data and make predictions. The fundamentals of statistics, such as probability theory, statistical inference, and hypothesis testing, should be studied. When studying statistics, make sure that you use statistical software like R or Python.

Become an Expert in Python

Python is one of the programming languages that are most frequently used in data science. It has a huge ecosystem of libraries and tools, is adaptable, and is simple to learn. The foundational concepts of Python, such as data types, control flow, and functions, should be studied. Also, you want to become familiar with using Python libraries used frequently in data science, like NumPy, Pandas, Matplotlib, and Scikit-Learn. Python will be your best friend in achieving a variety of essential steps in data analysis including data collection, data cleaning, data analysis, and data visualization.

Discover the Power of SQL

In addition to Python for data cleaning, you should also become familiar with working with databases and information storage platforms including SQL and NoSQL databases. Relational databases are everywhere. SQL will be an important asset for you when you are in the job market.

Take a course in data science

A great option to learn data science from scratch is to enroll in a data science course. There are many learning platforms that offer data science courses. There are many online courses for various topics, including programming, statistics, and machine learning. Most people begin learning from these online platforms but give up along the way. Make sure you join a forum, a group of data science enthusiasts supporting each other, or join a synchronous course that provides some form of coaching.

To sum up, studying data science from the start involves commitment, perseverance, and hard work. You must learn the fundamentals of data science with statistics, Python, SQL, and enroll in a data science course. You will be able to examine data, draw conclusions, and make well-informed judgments that can change businesses and sectors if you have these skills.

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To learn more about variance and bias, click here and read our another article.

The post How To Learn Data Science From Scratch? first appeared on Magnimind Academy.

One of the key benefits of cloud security is scalability. Cloud service providers allow users to easily scale up or down their security resources as per the requirement, thus making it easy to manage changing security needs.

Another advantage is flexibility. Cloud security solutions can be customized to meet the specific security needs of an organization, making it possible to adjust security measures according to changing business requirements.

Cost-effectiveness is also a key advantage of cloud security. It eliminates the need to invest in expensive hardware, software, and infrastructure, thus reducing costs and improving efficiency.

Accessibility is another benefit of cloud security. With cloud computing, employees can access company data and applications from anywhere, at any time, providing greater convenience and enabling remote work.

However, cloud security also has some limitations that need to be considered. One of the biggest challenges is ensuring the privacy and security of sensitive data. Data breaches and cyberattacks are becoming increasingly common, and organizations need to take the necessary steps to protect their data.

Another limitation is the risk of vendor lock-in. Organizations may become dependent on a single cloud service provider, which can result in a lack of flexibility and higher costs if they need to switch to a different provider.

In conclusion, cloud security offers several benefits such as scalability, flexibility, cost-effectiveness, and accessibility. However, organizations need to be aware of the limitations, such as privacy and security concerns and vendor lock-in and take the necessary measures to mitigate these risks.

.  .  .
To learn more about variance and bias, click here and read our another article.

The post The Benefits And Limitations Of Cloud Security first appeared on Magnimind Academy.

A strong password is a critical aspect of online security. A weak password, such as “password123”, is easily crackable and leaves an individual’s online presence vulnerable to hacking and identity theft.

To create a strong password, it is important to use a combination of uppercase and lowercase letters, numbers, and symbols. Length also plays a crucial role, with longer passwords being more secure.

It is also important to avoid using easily guessable information as passwords, such as birthdays, common words, and personal information. Instead, consider using passphrases made up of random words, making it more difficult for hackers to crack the password.

While strong passwords are crucial, it is also important to implement effective password management. This involves using unique passwords for each online account and keeping them organized and secure.

One effective way of achieving password management is through the use of a password manager. This tool generates and stores strong passwords, allowing users to use unique and complex passwords for each of their accounts. This reduces the risk of a single data breach compromising multiple accounts, as well as making it easier for individuals to manage their passwords.

Strong Passwords

In conclusion, strong passwords and effective password management are essential in today’s digital world. With the growing number of online accounts, it is more important than ever to take the necessary precautions to secure personal information and protect one’s online presence and identity.

The post The Importance Of Strong Passwords And Password Management first appeared on Magnimind Academy.

Passwords

Passwords

Strong passwords are a crucial component of good cybersecurity practices. Avoid using easily guessable information such as birthdays or names. Instead, create a unique and complex password using a combination of upper and lower case letters, numbers, and symbols.

Anti-virus software

Anti-virus software

Anti-virus software helps protect your devices from malicious software and viruses that can harm your device or steal sensitive information. Regularly updating your anti-virus software is essential to ensure that your device remains protected against new threats.

Phishing scams

Phishing scams

Phishing scams are fraudulent emails or websites designed to trick you into providing sensitive information, such as passwords or credit card numbers. Be cautious of emails or websites that ask for personal information, and always verify the sender before providing any information.

Public Wi-Fi

Public Wi-Fi

Public Wi-Fi networks are convenient, but they are also less secure than private networks. Avoid using public Wi-Fi networks for sensitive activities such as online banking or shopping, as these networks can be easily hacked.

Cloud storage

Cloud storage

Cloud storage has become an increasingly popular way to store data. However, it’s important to ensure that your data is stored with a reputable provider that uses strong cloud security measures to protect your data.

Regular software updates

Regular software updates

Regular software updates are crucial in keeping your devices and software secure. Updates often include security patches to fix vulnerabilities that can be exploited by hackers.

Conclusion

In conclusion, understanding the basics of cybersecurity is essential in today’s digital age. By being aware of the potential threats and taking the necessary precautions, you can help protect your personal and sensitive information from cybercriminals.

The post The Basics Of Cybersecurity For Non-experts first appeared on Magnimind Academy.

What are they?

Keras is a high-level, open-source neural network library written in Python. This user-friendly deep learning framework supports TensorFlow and has been designed to facilitate quick experimentation with deep neural networks.

Written in Python, PyTorch is an open-source machine learning library based on Torch. You can use it for natural language processing. It can be called a Pythonic way of executing deep learning models. 

Ease of use

Keras wins this round hands down as it’s the go-to framework for beginners interested in deep learning. Keras is syntactically easy, which means when you set up a deep learning model, you’ll just need to execute the basic steps like loading the data, defining, compiling, and training the model, and its evaluation. You’ll need a few lines of code for all these steps. Keras is written in Python – a beginner-friendly programming language. It also has concise, simple, and readable syntax. All these make Keras an extremely popular language not only among deep learning beginners but even developers.

To use PyTorch that’s more complex than Keras, you have to be familiar with all the basics and details. Thus, even when you just want to train your deep learning model, you’ll have to initialize the weights at the beginning of every batch of training, run the backward and forward passes, calculate the loss, and update weights consequently. As a result, for a beginner who has just got started with deep learning, using PyTorch could seem like a Herculean task. PyTorch is a more popular choice among researchers than developers.

API levels

Keras is a high-level neural network API. It’s proficient in running on top of TensorFlow and CNTK, and even supports PlaidML. Keras facilitates quick development due to its user-friendliness and syntactic simplicity.

Pytorch is a lower-level API, which focuses on working with array expressions directly. It has become a popular choice for academic research and deep learning applications that need optimization of custom expressions.

Speed

Keras has a comparatively slower performance whereas PyTorch provides a faster pace that’s suitable for high performance.

Datasets

As Keras is comparatively slower, it’s typically used for small datasets. In contrast, large datasets and high-performance models that need speedy execution use PyTorch.

Architecture

The architecture of Keras is simpler and more readable than PyTorch, which boasts of complex architecture and lower readability. 

Debugging capabilities

PyTorch wins this round with its better debugging capabilities. However, it’s important to note that there’s very less need to frequently debug simple networks in Keras.

Conclusion

Both Keras and PyTorch enjoy plenty of popularity as deep learning frameworks and have adequate learning resources. While Keras offers outstanding access to tutorials and reusable code, you’ll get excellent community support with Pytorch and enjoy active development.

The post Keras Vs PyTorch first appeared on Magnimind Academy.

1. You learn better with instructors than on your own

Most online courses have the curriculum divided in chapters, which you can study on your own – at your convenience. Since the information available in such courses is often huge, you may feel overwhelmed, confused, and even demotivated. And if you get stuck or can’t understand a concept, you have no one to get advice from or ask questions. The handful of courses that give you limited access to instructors may not help as figuring out everything on your own is tough. In contrast, bootcamps (like Magnimind Academy) give you one-on-one access to instructors, which is imperative to quick and proper learning. Such as Magnimind Academy empowers trainees through dynamic instructors.

2. You get a strong peer environment

A huge advantage of bootcamps is the community of people who are attending the course with you. You get to discuss with your peers the concepts that are taught, brainstorm to complete your allotted tasks, and explain/help others who may need to understand a specific concept/chapter using group chats, video hangouts, message boards, emails in the event spaces. This not only helps you to have a better grasp on what you’ve learned, but even build a good support network of peers who share their passion and interests for what they are learning and doing. At the same time, this strong peer environment can even motivate you to push yourself harder and be better in what you are aiming at.

3. High-impact, quick learning

The duration of bootcamps is much shorter than online courses. Depending on the subject, it can be anywhere from 6 weeks (for data science) to coding (10-12 weeks). Since the curriculum of a bootcamp focuses only on the relevant and important topics that students need to learn, it’s planned meticulously to have extremely trimmed, to-the-point course structure ideal for fast-paced learning. During your office hours, you can practice what you have learned and work on projects that have been assigned to you. Since the instructors are often highly experienced professionals in their fields, everything you learn from a bootcamp is extremely relevant and up-to-date with the present state of the industry. Thus, you not only get to learn topics that are relevant and popular to the current industry status, but even do it pretty fast and in the most effective way possible.

4. Learn to collaborate and network with others

In modern world, you often have to work as a part of team where you need to collaborate with a diverse group of people almost regularly. By meeting and learning with a diverse group of people from different fields in a bootcamp, you will learn how you should collaborate with others to achieve a common goal. Also, as you work with people from different backgrounds and having varying perspectives, you will get to expand your thinking and see the same problem/issue from different points of view. This, in turn, is likely to encourage creativity and innovation. Also, this is a great advancement for your career. By making new friends and keeping in touch with them after the bootcamp, you can even take advantage of a solid network that opens door to significant career opportunities.

The next time you are in a dilemma about whether to choose a bootcamp or an online course, go for the former without a second thought.

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To learn more about data science bootcamps, click here and read our another article.

The post Top 4 Benefits Of Bootcamps Over Online Courses first appeared on Magnimind Academy.

As technical skills are high in demand these days, boot campshave become one of the most sought after methods to obtain the additional skills required to cover the extra mile in your career. Over the last few years, boot camps have popped up all across the globe, which promise to consider non-tech candidates and transform them into tomorrow’s technical people, often in as little as a couple of weeks or months.

1- What is a technical boot camp?

You can consider a technical boot camp similar to one of its non-technical peers, sans the physical effort. Here, someone won’t yell at you and order you to do pushups when you get an answer wrong. Put simply, a technical boot camp is a learning format designed in a manner to help participants focus intensely on acquiring new technical skills quickly. Like a non-technical boot camp, the primary principles here too are speed and high impact.

2- Key advantages of attending a boot camp

It’s important to note here that before you even plan to attend a boot camp, you should acquire a bit of self-knowledge. For example, what are you exactly looking to get out of the boot camp – an entirely new career, a better job, or new opportunities? It becomes even more crucial if you’ve never had any technical skills before. Many skilled professionals hold degrees in their fields while some others are self-taught. But the thing they all have in common is the passion for their career. If you aren’t sure whether you’ll actually want to work in your chosen field, it’s always recommended to start off with one class, get your feet wet, and then jump into a bigger program. You should understand that finding the right career path isn’t only about the pay or occupational outlook. A proper fit plays one of the most crucial roles as well.

Once you’ve done the soul-searching and determined that a tech field is perfect for you, a boot camp is perhaps the best way to delve deeper into your chosen field. Here’re the key advantages that a boot camp can provide you with.

2.1- GET INTO A NEW ROLE

It’s not the employees with a diverse range of technical skills on which tech organizations depend alone. If you’re already working for a tech employer but looking to get some help in stepping into a technical role from administrative or other creative roles, a boot camp can create the opportunity for you. All you need to do is use the connections you’ve at your workplace to determine the most suitable field to attain your goal and get enrolled in the suggested program.

2.2- OPPORTUNITY TO STEP INTO A NEW CAREER

Unquestionably, this is one of the major selling points of any boot camp. By attending a boot camp in your chosen field and acquiring the required technical skills, it’s possible to switch to an entirely new career. However, it’s important to note that the final outcome may vary based on the program, the coursework, and your personal background. What this means is that making the leap from a low-paying career to a high-paying one is indeed possible. But again, you’ve to pay careful attention to the practical aspects of attending a boot camp before making the decision.

2.3- OPPORTUNITY TO DEVELOP YOUR NETWORK

Another major benefit of attending a boot camp is you get the chance to make a significant number of connections in quite a short period of time. From your fellow participants to instructors to previous alumni – everyone can help you expand your network. Once you’ve the network developed, you can explore it for different career-related purposes such as getting industry insights and placement assistance, among others. Especially, enlarging of business area is crucial.

2.4- RELATIVELY AFFORDABLE ALTERNATIVE

For many people looking to learn technical skills in demand, a boot camp acts as an affordable alternative to regular college education. The main reason is that the price of attending a college for traditional education has skyrocketed. Also, there’re other factors like housing, books etc that don’t come cheap. You should even consider the fact that the cost of higher education is rising steadily. On the other hand, a boot camp offers a varied range of tuition – from free to part-time to full-time programs, thus giving you a lot of choices. Boot camp is indispensable piece for career planning.

2.5- EXTREMELY SHORT PERIOD OF TIME

If you want to learn technical skills and take the traditional college route, four years is the obvious tenure that you’ll have to invest. In addition, students sometimes take up to six years to complete their college education. From class overflow to taking time off to work to pay student loan debt – reasons may vary a lot. When you attend a boot camp, you can forget those years and go for an intensive training that will help you learn the skills in demand in as little as a couple of months or weeks. Courses at boot camps usually range between 4 and 30 weeks with a majority of them falling in the 9 to 12 weeks range. A boot camp seems like an obvious choice when it comes to learning the technical skills for your desired job faster as compared to college courses.

2.6- JOB PROSPECTS

We’ve already discussed the advantages of attending boot camps in terms of switching your career and switching roles. Apart from lesser time and costs, job prospect is one of the biggest benefits of these programs. You may ask – will you get hired when another applicant holds a traditional college degree? Surprisingly, many tech organizations are less bothered with a traditional degree. Technical skills and talent seem to be more important to them than a traditional degree, particularly considering that these skills can be self-taught.

Till now, we’ve been discussing the key advantages of attending a boot camp from the perspective of an individual. Tech organizations can reap a lot of benefits by helping their employees attend such a program.

In today’s tech landscape with a high attrition rate, it has become quite difficult to retain top talents. Companies are trying their best to support their best employees. Getting your employees certified can provide you with a multitude of benefits. Let’s have a quick look at them.

• It’s usually cheaper to get the existing staff certified than hiring certified staff from outside
• It improves workplace methodologies and professionalism
• It improves employee retention, morale and acquisition
• Certified employees come with greater technical skills, which result in new client engagement

Here’re the major advantages of getting your employees certified through boot camps.

2.6.1- Up-to-date knowledge

The tech landscape is changing rapidly, and thus, it has become crucial for companies to ensure that their employees undergo quality training that enrich them with up-to-date knowledge, practical hands-on experience, and new technical skills within a limited period of time. In this scenario, a boot camp is probably the most feasible solution not only because of the time constraint faced by the companies, but since these programs offer a distraction-free learning environment too and are well-equipped with crucial software and hardware that add value to the experience. Data science boot camp in the Bay Area gives companies numerous advantages.

2.6.2- Regulation compliance

Sometimes, companies find it difficult to remain compliant to new regulations. Boot camp sessions run by adept professionals help introduce the participants to new regulations quickly. It helps the participants to obtain a better and clearer understanding of compliance regulations, and learn how to remain compliant without affecting business activities.

3- Things to keep in mind when searching for a boot camp

All boot camps aren’t created equal. So, it makes sense to have a clear idea about the factors that differentiate a great program from an average one. Here’re the things that you should be looking for in a boot camp.

3.1- JOB PLACEMENT RATES

A reputable boot camp is more likely to share its job placement rates with candidates, and offer information on the types of jobs one may get after the program. Remember to focus on the latter part as you’re presumably not investing your hard-earned money to get an opportunity that pays less than or same as your current job. Event area is expanding day by day.

3.2- CAREER SERVICES

f you’re going to enroll in a career-changing boot camp by paying top dollar, you’ve to make sure that it’ll offer you an excellent career service after the program gets over. Some boot camps offer mentoring programs, alumni networks, and even job guarantees after the programs end.

Final note

When it comes to developing technical skills, these are the major advantages of boot camps, both from the perspectives of an employee and an employer. There’s one important thing that you should always keep in mind – regardless of the duration and the field of the boot camp you’re planning to attend, you’ve to keep realistic expectations at the conclusion of the program. Contrary to how a program is marketed, they sometimes make a better fit for participants with good technical skills to master an advanced skill.

To learn more about data science, click here and read our another article.

The post Benefits of Bootcamps to Develop Technical Skills first appeared on Magnimind Academy.