You will be taught the best data science books on specific data science terms and how to use data science tools at your chosen institution.

Why study data science?

Although passion should be the number one driving force, there are other reasons why you should study data science. Three of these reasons will be briefly highlighted below.  

• Increased potential

Earning a degree in data science will increase your chances of becoming a high-earner or creating your own multimillion-dollar data management company. There are a thousand and one opportunities in the tech world. Leveraging your skills as a data scientist will set the pace for a bright future.

• Technical knowledge

The world is rapidly becoming a digital village. Your knowledge as a data scientist will expose you to cutting-edge innovations that can be used to improve thousands of lives. By applying the machine learning principles you learn, you will be able to make a positive impact.

• Secure future

During the global pandemic, lots of individuals lost their jobs as many careers became extinct. As a data scientist, your future is as good as secure. Certainly, the world will only increase its demand for technological progress, and with this increased demand, your skills will be highly needed.

Course titles and descriptions

To learn how to study data science, you will be expected to begin your course by learning the foundations of data science. Following these basics, you will progress to further complex information on data science education. 

Below are some course titles and descriptions you are expected to cover as a data scientist:

1. Data exploration and analysis

This covers an analytical evaluation of various statistical and data analysis methods such as variance, and regression, amongst others. 

2. Statistics and Probability

Here you will be taught all probability-related principles and statistical techniques. The course will teach you not just the theoretical principles but their applications in real life.

3. Data analytics

This course details the mechanisms by which data is processed and effectively interpreted. It focuses on teaching students how to accurately generate results using data.

4. Database systems

This introduces you to data collection and storage methods. It offers information on the design and manipulation of Structured Query Language (SQL).

5. Data structures and algorithms

This provides you with information on the various types of data structures, such as queues, linked lists, graphs, trees, heaps, and so on. It further teaches how to use algorithms to process and analyze structured data.

6. Data mining

This introduces you to the processes involved in the extraction of data. These processes include collection, sorting, structuring, and storage.

7. Object-oriented programming

This course introduces you to a programming language that focuses on objects and data. It is a more complex course, which takes you a step further into your program.

8. Data visualization

This course provides details on the techniques used in the representation of data. Some of these techniques include graphs, charts, animations, and so on.

9. Big data

This offers an overview of large data and the processes used to collect, sort, and store very large-scale data.

This is an introduction and evaluation of machine learning (a type of AI that predicts outcomes for software applications). The course provides an understanding of the use of historical data to create algorithms.

Skills of a data scientist

To become a data scientist, you must develop certain skills that would help improve your career. Some examples of these skills include:

• Good mathematical skills
• A thorough understanding of the programming language.
• Comprehensive technical knowledge of data visualization and other data-related terms
• Knowledge of digital marketing tools
• Great analytical abilities
• Excellent written and verbal communication abilities
• Capability to work as part of a team
• Strong problem-solving abilities
• Strong critical thinking and cognitive abilities

Conclusion

A data science major is a degree in the collection and responsible management of data. With the increasingly high demand for big data, there is a general market need for skilled data scientists, strategists, and analysts.

When students realize they are expected to offer the course, the first question we hear is “is discrete math hard?”. The truth is, learning discrete math and solving discrete math problems is not quite difficult. All you need is basic analytical skills.

Fortunately, there are various platforms that offer discreet math help and discrete math tutorials to students. This article will provide you with information you may not already know about the course.

What is discrete math?

This type of math studies discreet values, not continuous ones. Generally speaking, a major characteristic of this course is sets (both finite and infinite sets).

The ideas and subject matters treated in the course can be used in solving science-related problems which might include digital algorithms, coding, software design, and validating specific theories.  

How can it be applied in real life?

Lots of students offering this course are unaware of its applications in real time. They often wonder why they even need to bother with learning the course. 

Why exactly do you need to create graphs and learn set and algebraic structures? What are the real-life applications of these topics? 

To better enjoy the learning process, you must first recognize its importance and the fascinating ways these topics can be used in society. Below are some everyday applications of the subject.

• Web search

Discrete math allows you to search for anything in various languages and receive information about it in one application. Developers use their knowledge of linear algebra to create this multilingual search feature.

• Google Maps

At one point or another, you may have used Google Maps to seek directions to unknown locations. By creating simple algorithms using discrete math, Google Maps helps to locate the easiest and quickest routes for you to follow.

• Creating schedules

We use colouring graphs or optimized combination tools to create schedules, which help with planning and increase productivity. Whether you are scheduling work shifts, scheduling events, or scheduling meeting times, you can only do this through the application of discrete math topics such as graphing and combinatorics.

• Encrypting and decrypting 

Discrete math is necessary when decrypting or encrypting. The topic of cryptography is used majorly for this purpose. An example of this is the ability to securely shop online. This is done using public-key cryptographic design.

• COVID-19 testing

The ability to efficiently scale COVID-19 test results is possible through the application of linear algebra, which is a branch of discrete math.

How can I handle the course?

No matter what you have been told, or how difficult you might think discrete math is, with just a few tips, you can confidently gain expertise in the field. Below are a few ways to handle this course.  

• Prepare ahead

You are most likely going to understand the topics better when you study and prepare ahead of time for your teacher. This way, when your teacher covers the topic, it will appear as a summary to help you better understand what you have previously studied. You can plan ahead by outsourcing materials on Google and YouTube.

• Join a study group

Look out for students who understand the course and request to join their study group. This will help you improve your knowledge of the course.

• Manage your study plan

Due to how complex the course might sometimes get; it is highly recommended that you divide a particular topic into sections. Creating these sections will help in your learning journey.

Conclusion

Discrete math has been around since the 1980s when it first appeared as a supporting course to computer science. Its original content was a bit random and disorganized. However, this was further developed and organized into a full course for the purpose of improving the mathematical abilities of students.

Unfortunately, most students have a problem with accurately doing this. They struggle with not knowing the proper way to email a professor and how to email a professor about a late assignment. 

This article will act as a guide to teach students how to write to a professor, how to start an email to a professor, and how to email professor about late assignment.

Reasons for writing email to professor

Before writing a late submission electronic mail, you must come up with the reason for your email.

There are a couple of reasons why students write late assignment emails. Some of these reasons include:   

1. To notify: notifying the professor beforehand shows that you are interested in the assignment and that you intend to finish it up. 
2. To explain: sometimes unforeseen events may hinder you from finishing the project on time. Rather than assuming that your professor knows your situation, it is always best to explain.
3. To ask for an extension: When asking for an extension, you should focus on adding how much progress you have achieved, the reason for the request, and the amount of time you need.
4. To apologize: this is for students who have already skipped the submission date. If you have not already asked for an extension or sent a notification, then you must immediately send an apology letter as soon as you miss the submission date.

It is necessary to note that in all late assignment emails, students are expected to attach a photo of their student ID for identification.

Steps to take when writing the email

Having understood why you should write a late submission email, the next step is learning how to write it. 

Writing this type of mail comprises two major things: learning how to start and learning the best way to end an email to a professor. 

The step-by-step guide below will help you draft this type of electronic mail:

1. Address the mail

To begin, start by inputting your professor’s email address in the “to” section of your compose box. Sometimes, some institutions require students to send a duplicate of the mail to their departmental heads. Find out what works in your institution and adjust accordingly.

2. Add a subject

The subject of your mail should be precise and short. It should give a detailed explanation of the reason for the mail. You may want to refer back to the list above, which gives reasons why students write late submission emails. 

You could either write “Request for extension”, “Notification on late assignment submission”, or “Apology email for late submission”.

3. Begin by writing the body

Start the body by briefly introducing yourself. You should do this by adding your name and department. After a brief introduction, you can then structure the body based on your subject. 

When writing the body, honesty and choice of words are highly important. It helps to be apologetic and sincere in your tone. This will increase your chances of receiving an extension.

4. Attach specific documents

To convince your professor, you should consider attaching documents that validate your reasons. These documents might include photos, prescriptions, and reports.

5. Finish your mail

The best way to conclude is by being sorry and proactive. You should conclude by explaining that the assignment means so much to you and that you will put in so much effort to complete it. You can then finally close with your full name.

Conclusion

Trying to keep up with schoolwork can be very challenging. From having deadlines to struggling with balancing social life, the pressure can very often lead to submitting late assignments. The above steps will assist you in writing the perfect late assignment mail.

For the above reasons, it is not surprising that students often look for the shortest possible way to submit assignments. If you often ponder questions such as how to cheat in school or how to cheat on homework, then this article is for you.

How to cheat on your homework

A homework cheat can be achieved using various clever methods because just as students get wise, teachers get even wiser. To cleverly cheat, you must avoid getting caught. Below are a few ways to do this.

1. Copy wisely from a friend

This is one of the most popular ways to cheat on your homework. The act of copying from a friend has been around for a long time.

This technique is the easiest, but you must avoid getting caught. One way to avoid this is by changing the words in your answers. Friends who get caught often use the same or very similar answers. This immediately makes you a suspect. 

2. Ask Google

One of the most significant technological search tools in history is Google. Using this search tool, you can ask any questions and copy the answers provided. However, when copying, be mindful of completely plagiarizing the work. You can avoid plagiarism by collecting ideas from different sources and compiling them together to form your unique answer. 

3. Do collaborative work

Sometimes your homework does not come in written form. Teachers can ask you to read a particular piece and verbally answer the questions in class. 

In this instance, collaborative work will help you. By dividing sections of the piece amongst your friends, you can all read it individually and share ideas collectively.

4. Use paraphrasing tools

If you struggle with changing words and efficiently paraphrasing or rewriting the work of others, You can solve this problem by using paraphrasing tools such as Quillbot or Grammarly.

5. Enquire on social media platforms

There are various social media platforms to help you out with your homework. You could post your questions on sites like Reddit or Yahoo Answers, and then copy directly from the responses you get.

6. Pay for services

Lots of companies offer assistance to students who struggle with homework for a token. You might want to employ the services of either a professional or a fellow student.

7. Fail a few questions

It would be quite suspicious if everyone scored perfectly. To throw your teacher off balance, you might consider failing at least one question.

8. Get a tutor or mentor

A tutor might be a fellow student or a completely different person. In either case, a tutor/mentor will review your work and leave comments to help you deliver the best possible homework.

9. Check for plagiarism

Most students make the mistake of submitting their homework without first checking for plagiarism. The plagiarized words and phrases will be identified by a plagiarism checker. You can then change these words or phrases to remove plagiarism.

10. Check out videos on YouTube

There are lots of academic uploads on YouTube. You can easily search for uploads related to your homework and watch them rather than read ways to solve or answer them. By watching, you can formulate your unique answers.

Conclusion

Thanks to technological advancement, cleverly coming up with cheating homework techniques is no longer as difficult as it once was.

A homework cheater can now use tools such as a homework cheating website and homework cheating apps to generate answers to all sorts of homework.