How to Study for Exams Best Tips Ever

Academic

Nothing instills fear and anxiety in the minds of students like a big test. Wanting to study is one thing, but it can be difficult without proper guidance. It’s important to build good study skills early in your schooling which will carry you throughout your career.

Firstly, find out the kind of exam you will be sitting for. It may be essay exams multiple choice exams or an open book exam. Different types of exams require different study strategies.

 

Here are some tips to study for exams which will be very helpful to you:-

 

1. Begin your study earlier with a calm and positive attitude:

Panic will make your situation worse. However, if you are calm and motivated about what you are about to learn, you will have an easier time learning it and remembering it. Don’t let yourself, “I’m never going to learn this.”

 

2. Determine what material needs to be covered:

Most exams cover specific subjects and materials, and it’s important to know which material you need to study. Otherwise, you may be using your precious remaining study time incorrectly. Ask your teacher about the subjects you’ll be tested on and which chapters you need to cover.

 

3. Schedule your study time:

Create and stick to a good study schedule. Take the time to think about when you are most alert and able to concentrate. You will be more productive at that time. You will retain more information if you study a bit each day rather than cramming at the last minute. Remember to incorporate breaks into your study schedule. Breaks give your brain a chance to absorb what you just studied.

 

4. Organize your subject material:

Gather the materials for each course. Make sure you have a complete set of course notes and copies of any handouts, slides or visuals. Make sure they correspond to the topics in the course outline. If you’ve missed lectures, find out whether they have been recorded and catch up. Borrow copies of lecture notes from another student and review any lecture slides and handouts available. Make sure that you have copies of any extra readings or materials distributed in classes. Once you have a complete set of course materials, you can study by topic.

 

Figure out your study methods:

If you are a visual learner, diagrams, and pictures can help you remember. Auditory learners should listen to lecture recordings or make their recordings of notes that they can listen to later. If you are a physical person explain key ideas aloud to yourself while moving around.

Explore different ways to help you remember key facts and to increase your understanding of the main concepts. Remember, that everyone has different methods to study, what works for your best friend may not work for you.

 

5. Find your resources and ask questions:

Your textbook, notes, online sources, classmates, teachers, and possibly your family members can all be of use. If you’re studying and happen to come across a part you can’t understand, write it down. Ask your teacher either during class or after class. And don’t worry while asking a question, that doesn’t mean that you are dumb. It means you are actively paying attention and you’re learning.

 

6. Memorize as much as possible:

The key to top performance is the ability to memorize all relevant materials. There are tricks for helping to memorize, otherwise called mnemonics. These can include, for instance, poetic or rhyming mnemonics for the auditory learner, visual imagery and fantasy for the visual learner.

Repetition is another form of memorization that is most commonly used. It allows for high recall if practiced at regular intervals.

 

7. Organize yourself for the test: 

Be sure you have what you need for the test the night before. It may be a calculator, pencil, watch, etc., you must have them.

 

8. Eat properly:

 Good nutrition is vital for optimal thinking. Try to stay away from high sugar and fatty foods such as ice-cream and cookies. Replace sweet sugary drinks with a cool glass of water or fresh juice or milk. Have a “brain” meal the night before.

Try eating fresh vegetables. Eat a good breakfast. It will keep your mind alert. An example of a good breakfast is a glass of juice, an egg, toast, and cheese. 

 

9. Get enough sleep before the exam day:

This step is extremely important and cannot be skipped. Without sleep, your chances of doing well on the test quickly lower, because your brain can’t focus on what it needs to.

If you can’t get to sleep, try some warm milk or tea, but be sure there is no caffeine in your drink. Do not alter your sleeping patterns. Go to sleep at your regular time to keep your sleeping patterns regular.

 

10. Turn up ready for the test:

Set your alarm clock in the morning, arrive on time or even a few minutes early. If it’s a test that requires registration, fees, identification and like this, schedule extra time for that.

Keep a positive attitude! Studying a lot, but thinking you can’t ace that exam, will reduce your chances of succeeding. See yourself as acing it, relying on all the preparation and attention you’ve given your studies to this point as such confidence is the key to success.

Aim high. Don’t just aim to pass the exam, aim to get an A+.           

     

Conclusion:

Now you know better to study for exams. If you need any online assignment help or solution help. Codeavail experts of computer science homework help or programming assignment help provide you the best solutions for your queries or problems.

Hire professional experts now at an affordable price and receive your solution within a given deadline or instantly.

Competitive Programming details | how to learn best strategy

Here in this blog, Codeavail experts will show you what competitive programming is, how to learn, and improve competitive programming skills.



If you want to take your programming language to the next level, you should have a strong mathematical background. Each super-programmer has a very strong mathematical background. And because of this, they can solve complex problems very easily and in the complexity of low space and time.
Although you need to put different arguments behind every problem, mathematics works like an inspiration. You need to practice a lot to get good and competitive programming skills.

What is competitive programming?

Definition
Competitive programming is to find the best solution to well-defined problems by writing computer programs under specified limitations.
Based on the above definition, there are three aspects of competitive programming:
Well defined problems: you are presented with one or more problems. The problem details include variables, and you should be able to respond to the problem when you return any possible combination of variable values. The problem will be well defined: you will be informed of the exact constraints of all variables, any necessary assumptions, etc.
Computer programs: You resolve the issues that you write to computer programs. The command-line program reads the values of variables from standard input and should write answers on standard output.
Specified limitations: Your program must respond within a specified time and memory limit. In addition, you should write programs in a set of programming languages.

How to learn competitive programming?

There are essentially 6 key stages in learning competitive programming:

1. Learn a well-known programming language:
You can do competitive programming in any programming language, but it is highly recommended that you have a C/C++ programming language. Select one of the C++ or Java programming languages. This is because execution time is an important factor in competitive programming and therefore, choosing a language whose execution time is fast is going to benefit you.
C Programming Language / C++ programming language and Java programming language are relatively fast, especially when compared to languages such as Python programming language.

2. Starting with competitive programming:
Start practicing on various online programming practice sites, it has a great IDE and an amazing beginner program that will help you get started.
Online practice sites have a lot of problems that gradually increase the difficulty and therefore you won't have to face a sudden increase or difficulty and it lets you look at the test case on which you failed the code that will help you create a test case also.
Learning to debug the code for the case on which it failed. As a total start, it's important that you can look at the test case that failed so you can learn how to target such corner cases.

3. Familiarity with data structures

4. Get familiar with the algorithm:
Algorithms are logic that is applied to different data structures to get the desired output.

5. Starting with actual online competitions:
Once you become familiar with the complexities of time and are able to get acquainted with the complexities of online IDE and penalties you can start with current competitions.

6. Practice Practice Practice

Books Recommendations for Competitive Programming

• Data Structure Made Easy
• Algorithm Notes for Professionals
• Competitive Programming, 3rd Edition: Steven Halim

Strategy to improve skills in competitive programming Languages

All of this can be achieved only through practice.
1. Fully understand
First, study all the concepts of the programming language in depth. Always use standard books. There are many online platforms available today where computer experts around the world share their knowledge and try to make concepts easier.
2. Follow this approach
Try to start coding using simple problems. Before writing the code, create a flowchart of the logic that is being used first. This will increase the number of correct codes that will not only enhance your skills but also enhance your confidence.
3. Real-life implementation
Once you get accustomed to code and try to create basic programming codes that solve the problems of your daily life. These may include report cards of any student, ticket reservation system, library management system, etc.
They will make you feel like a software developer.
4. Brief code
Now the next step is to shorten the code. Let's say you create a simple code for the library management system. Now try to cover it so that the same work can be accomplished in a very simple and small way.
You can only see the problem first and create your own code. Now see the optimal solution to know how it can be reduced.
This is the most important and transition phase from basic programming to competitive programming.
5. Be a fighter
Now start participating in coding competitions. Competitions can take place at your school, online or nationally. Here you will find people as if you are killing and killing each other.
Here, you have to write the optimal solution and that too within the shortest time. Since it is a competition, it is the survival of the fittest. Such a healthy competitive environment accelerates the learning rate and involves learning through fun mechanisms.
In addition, you will also get a rating according to the successful presentation of your code and the competitions you win, which strengthens your professional profile.
6. Start sharing knowledge:
Once you become a good programmer, do not keep your knowledge to you. Spread. Share it with your juniors, your peers and the world.
7. Stay updated
"Success is not the destination for you, it is a way of living life. Therefore, always stay updated on new arrivals in the field of new technologies and coding. This will help you to produce better and provide better service.

Beginners (over 2 months)
For beginners, it is important to learn basic concepts. Participation in many competitions will not help.
An important DS/Blog from a book or blog. Algo. Read about some concepts.
Find a question that can be solved using that concept.
Code and submit.
Repeat 1 - 3.

Medium level competitors (2 to 10 months)
You already know the basics here that help participate in a real competition (especially long challenges).
You should learn to solve the problems that require an understanding of many concepts.
Participate in competitions. Try to resolve the problems.
Read editorials and solve problems that you can't solve during the contest.
Read other tips and learn different tips and tricks.
Learn and hack all small customizations to reduce implementation time.

Pro (less than 12 months)
You are already good at the moment.
Participate in teams. Learn the weakness of your team members. Bridging the gap.
Participate in many small competitions. Reduce the implementation time.
Learn the most advanced concepts and corresponding math. You should try to solve the toughest problems in competitions at this point.

Conclusion:

Now you know about the best strategy to learn competitive programming. So, if you want to get any programming assignment help related to C programming, C++ programming, Java programming, and Python Programming. You can hire our computer science homework help and computer science assignment help experts, and get instant programming solutions within a given deadline.

Tableau vs Power BI – All you Need to Know About

Here in this blog of Tableau vs Power BI Codeavail, experts will discuss business intelligence and data visualization tools, in particular, two names that can think of Power BI and Tableau. These two tools are helpful when you refer to data visualizations. Surprise which will be helpful according to need?

Tableau or Power BI are very similar products, and you have to look quite closely to find out which product can work best for you. Codeavail specializes in both tableau and power BI.

Tableau vs Power BI

Tableau data has been developed for analysts, while Power BI is a better fit for a normal audience that needs business is to improve their analytics.
Power BI starts at a lower price point than tableau, but system features and additional users will increase that price.
Both Tableau and Power BI are not single market leaders in the business intelligence sector. To explore your research methodology and get a shortlist of Microsoft BI software that works for your data needs.

Power BI

Power BI does not break the existing Microsoft system that works to create data visualizations on azure, SQL, and Excel. Almost, this is a great option for people who already work in Microsoft products such as Azure, Office 365, and Excel. This is a fairly low-priced option for SMBs and startups that require data visualization, but there aren't a lot of additional resources.

Tableau

The tableau specializes in the creation of beautiful visuals, but many of their promotions are focused on the corporate environment with data engineers. Almost, there is a public (free) version of the tool, but with limited capabilities. Also, the more you pay for the tool, the more you can access the tableau, including benchmark data from third parties. In addition, it has a non-profit tool and version for educational settings.

Power BI vs Tableau Setup

In addition, Power BI comes in three forms: mobile forms, desktop forms, and service forms. Depending on your role and needs, you can use one or all of these services to create and publish visualizations. The most basic set is an azure tenant that you connect to your Power BI through the Office365 admin interface.
Although this sounds frightening, most companies using the software will already have the framework to get up and walk immediately. Power BI is quite easy to use, and you can instantly connect existing data sources, spreadsheets and applications through built-in connections and APIs.
Tableau allows you to set your first example through a free trial, giving you full access to parts of the tool. In fact, from where you are opening the dashboard, you can see a list of all your available connections.
For example: Start connecting your data sources, and then you can start creating a worksheet where your visualizations will be live. Finally, if you've built your visualizations in Tableau Desktop, you can share them with your team via Tableau Server or Tableau Online.

Dashboards

Power BI has its own API access and pre-built dashboards, for some of the most commonly used technologies such as Salesforce, Google Analytics, Email Marketing and quick insights for Microsoft products. You can join services within your organization or download files to create your visualizations.
To connect any data to Power BI, you need "Get data" The button has to be used. You have to go through a small authorization process to fully connect.
Tableau invested heavily in the integration and connection of large devices and widely used connections. When you enter the tool you can see all the connections included with your account level.
The tableau connection is a bit more involved because you need to identify which data you need to draw in the tool when creating a connection. Because of this, it can help to understand which data you want to see and why you start making those connections first.

Cost

Talking about big enterprises, the tableau will be more expensive than the power BI. Also to get the most out of the tableau you have to build data warehousing that will further increase the cost.
Power BI is the clear winner here if you are looking for an affordable solution. The Cost of Power BI Professional Edition is less than $10 per user per month while the Pro version of Tableau exceeds $35 per user per month.
If you're a startup or a small business, you can opt for Power BI and upgrade the tableau if necessary.

Data Visualization

If your primary objective is data visualization, Tableau is the most selected option. When it comes to data visualization, Tableau is the best tool, while Power BI focuses more on prediction modeling and reporting.

Deployment

Tableau has more flexible deployment options than Power BI. Power BI is only available as the SaaS model while tableau has got both on-premises and cloud options.
If your business policy doesn't allow for SaaS for some obvious reasons, Power BI is out of the picture. Although it is costly due to its flexible deployment and licensing options, the tableau here is the winner.

Bulk data handling capabilities

When it comes to handling a huge amount of data sets, Tableau is still better than Power BI. When handling bulk data in Power BI, drag slow occurs which can be corrected using direct connections instead of import functionality.

Functionality

Most subject users can reply to data available in tableau compared to Power BI. The depth of data search with tableau is more advanced than Power BI.

Integration

Both software is easily connected with programming languages. Tableau integrates much better with r language than Power BI. Power BI can still be linked to the R language using Microsoft Revolution Analytics but is only available to enterprise-level users.

User Interface

Tableau has a clever user interface that enables the user to easily create a customized dashboard. Moreover, Power BI has a more intuitive interface and is much simpler to learn than tableau. As a result, it is due to the simplicity and ease of use of why business users like Power BI.

What can Tableau do that Power BI cannot, and vice versa

For your understanding in a convenient way, below are some points that will help you to easily remember the difference. These are:
1. Advantages of Power BI on the tableau
Power BI gives automatic quick insights.
Power BI is a data model that supports a large number of tables and also has complex relationships between tables, while Tableau does not support more than a trivial data model.
Its data engine is 10 to 100 times faster than the Tableau data engine.
Power BI can integrate with Cortana, Excel, and real-time data feeds.
Power BI contains dashboards that report 0 "High-level view0 Important visualizations from "Netz" are the words.
2. Advantages of Tableau on Power BI:
Power BI is restricted with data visualization scans at only 3500 data points, which can result in difficulty working with large data sets, which can be tableau.
Power BI can't group data on the fly, as you have to do a lot of work for it. But it's not with the tableau.
In Power BI you can't find more than two categories of data and slices.
Power BI has limited ability to customize and format popup content, misinterpreting data.
Downloading other people's dashboards in Power BI is also prohibited, thus limiting your usage for additional analysis.

Also, read...

How to improve programming logic building skills

C vs C++

How to Learn Javascript | Steps in details by Experts

Competitive Programming details | how to learn best strategy

Conclusion(Tableau vs Power BI):

Overall, we call this tableau vs Power BI to draw. Power BI wins for ease of use but wins the tableau in speed and abilities.
You need the help of any assignment or project related to the tableau. You can keep Codeavail experts to get tableau assignment help at an affordable price within the given time frame.