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Skills related to Analytics

Articles Related To Analytics


The global demand for data Science professionals is extremely high because of increasing relevance across various sectors. Data Science has become the most-sought skill because the data is piling along with a surge in different tech fields like Artificial Intelligence, machine learning and data Analytics. Hiring data scientist is being carried across numerous domains like e-commerce, education, retail, telecommunication and much more.

 

In the past years, analysts used excel tools to analyze data. Things are changing now! In this modern world, data-driven decision making is sparkling and technology is advanced in the data industry. The tools and technologies that modern Data Scientists employ are a combination of statistical and Machine Learning algorithms. They are used to discover patterns using predictive models. The future of Data Science is bright and the options for its implementation are extensive.

 

Data Scientists must consistently evolve at the edge of innovation and creativity. They must be aware of the types of models they create. These innovations will allow them to spend time discovering new things that may be of value. Subsequently, the advances in Data Science tools will help leverage existing Data Science talent to a greater extent.

 

So what does a Data Scientist do?

Data Scientists influence a pile of data in an innovative way to discover valuable trends and insights. This approach helps to identify opportunities by implementing research and management tools to optimize business processes by reducing the risks. Data Scientists are also responsible for designing and implementing processes for data mining, research and modeling purposes.

 

Data scientist performs research and analyses data and help companies flourish by predicting growth, trends and business insights based on a large amount of data. Basically, data scientists are massive data wranglers. They take a vast data and use their skills in mathematics, statistics and programming to scrub and organize the information. All their analysis combined with industrial knowledge helps to uncover hidden solutions to business challenges.

 

Generally, a data scientist needs to know what could be the output of the big data he/she is analyzing. He/she also needs to have a clearly defined plan on how the output can be achieved with the available resources and time. Most of all the data scientists must know the reason behind his attempt to analyze the big data.

 

To achieve all of the above, a data scientist may be required to:

 

Every organization has unique data problems with its own complexities. Solving different Data Science problems requires different skill sets. Data Science teams are groups of professionals with varied skill sets. They, as a team, solve some of the hardest data problems an organization might face. Each member contributes distinctive skill set required to complete a Data Science project from start to finish.

 

The Career Opportunities:

The careers associated with data science are generally categorized into five.

 

  1. Statisticians: Statisticians work usually for national governments, marketing research firms and research institutes. Extracting information from massive databases through numerous statistical procedures is what they do.
  2. Data Analyst: Telecommunication companies, manufacturing companies, financial companies etc. hire data scientists to analyze their data. A data analyst keeps track of various factors affecting company operation and make visual graphics.
  3. Big Data and Data Mining Engineer: Tech companies, retail companies and recreation companies use data scientists as data mining engineers. They have to gather and analyze huge amounts of data, typically from unstructured information.
  4. Business Intelligence Reporting Professional: They work for tech companies, financial companies, and consulting companies etc. Market research is the primary objective of this job. They also generate various reports from the structured data to improve the business.
  5. Project Manager: A project manager evaluates data and insights fetched from the operational departments and influences the business decisions. They have to plan the work and make sure everything goes in accordance with the plan.

In modern online digital world, there are thousands of competitors and everyone has to compete for user attention. How can you differentiate your product from your competitor product? The solution is UX design.

Now a days, the role of UX designer has an interesting and valuable place in business development because user experience designer have a different ideas to create a product and continually look for ways to improving the general experience of the users when they interact with the application or website in order to achieve its objective to provide the maximum customer satisfaction. It keeps customers in mind and creates the basic skeleton of any application. It focuses on the ease of use or wireframing an application and structuring all its elements and components appropriately to create the user flow.

If you have a product or website, no matter how functional, should be understood by a user. The most important step in creating digital product is not only attract visitor but also provide real value to them. If you would like to create a digital product with great user interface and user experience, you need to do a complete researched, and detailed learning to understand your user, and the process of graphic interface design. And you actually need designers to manipulate all these processes. UX design expert have an experience about what your users wants, does, thinks, sees, feels and likes in digital world.

If an app is getting low ratings, bad reviews, and complaints about its usability, or a web site is not generating the expected conversions, it may be time to bring in an UX expert.

Why UX Designer Role is Important

UX is about creating things usable and sensible. UX designers usually spend a lot of time on research and deep data analysis. Depending on the stage of the product and also the quality of the available analytics resources, UX designers draw the proper conclusions as well as make some predictions relating to the product's strengths and weaknesses. UX has involved in element of research, testing, business analysis, project management and wireframing. In the research phase UX designer focus on the end user of the product and the goals of your business and provide a data about what potential customer needed and how to provide the maximum satisfaction to potential customers.

How to hire UX designer?

I am sharing some tips regarding how your business can find and hire the perfect UX Designer to finally improve your usability and conversion rate.

  1. Before going one step towards hiring a UX designer keep in mind that you almost certainly need to hire a UX Designer for increasing the conversion rate of a landing page, to increase sales on the checkout or to boost the onboarding expertise to convert additional trials to paying customers. Write down your main reason and find a right candidate on Toogit.
  2. If you want to find out, Can this UX designer do the job efficiently? Review portfolio, ask questions, and give design exercises. Define your small business task and designer need to do those task before selection, because you need to know, He has to be good at explaining what he does and how something works. Of course you don’t need to understand all the tasks that your designer must do. But you should be ready to tell them your main requirements and expectations.
  3. A good UX designer will always ask a lot of questions about users and how every detail in the product’s functionality is supposed to help add value. If the designer isn’t doing this, you’ve gotten the wrong one.
  4. Post your UX design job post with complete requirement on Toogit. UX Designers on Toogit are highly skilled and talented, hiring UX Designers on Toogit is safe and the money is released to the Freelancer only after you fully satisfied with freelancer's work.

Tips for writing a successful job post

  1. Try to keep the length of the job posting to a single page.
  2. State your expectations and requirements clearly.
  3. What skills do you expect? What tasks and deliverables need to be created?
  4. What is your budget and do you pay by hourly rate or by project completion.
  5. Write a bit regarding your target market and users, why are they interesting to work with.
  6. What challenges would the required Designer need to complete? Why will it be an interesting project to work on?

 

Sample job description

Job title: Need UX Designer to design software and platforms

Job description: 

[Your company short description]

We are searching for an UX Designer to design software system and platforms that meet people’s needs. You’ll combine interfaces and workflows to boost user experience. In this role, you must be an analytical and creative designer who is ready to understand user needs and solve issues. A strong portfolio of successful UX and other technical projects is important. We will pay $25/Hour.

Ultimately, you'll build our product more easy and intuitive to attract and retain customer.

Responsibility:

  1. Create UX deliverables appropriate to the project, including high & low fidelity prototypes, problem analysis, content strategies, user flows, and wireframes.
  2. Understand product specifications and user psychology.
  3. Conduct concept and usability testing and gather feedback.
  4. Define the right interaction model and evaluate its success.
  5. Develop wireframes and prototypes around customer needs.
  6. Work with UI designers to implement attractive designs.
  7. Communicate design ideas and prototypes to developers.

This is a 2 year contract with the possibility for freelancer based on performance.

Project payment will be based on hourly rate.

Welcome to Python programming world! We presume you are trying to find information concerning why and how to get started with Python. Fortunately, an experienced coder in any programing language (whatever it's going to be) will pick up Python very quickly. It is also easy for beginners to learn and use.

 

Why you should learn Python

Python is one of the most popular general-purpose programming languages used for both large and small-scale applications. With Python, you can discover how to bridge web development and data analytics. Python’s widespread adoption is due to its large standard library, easy readability, and support of multiple paradigms such as functional, procedural and object-oriented programming styles. Python modules interact with a variety of databases, making it an excellent choice for large-scale data analysis. The Python programming language is often the best choice for introductory courses in data science and machine learning. If you've been wondering how to learn python online to advance your career, you've come to the right destination.

 

A popular Python slogan “life is happier without braces”.

 

Install Python

Installing Python is generally easy, and today several Linux and UNIX system distributions include a recent Python. Even some Windows computers currently go along with Python already installed. If you do need to install Python download from Python official website.

 

Learning Python

Before getting started, you may want to find out which IDEs and text editor are best, IDE usually has plenty of useful features such as autocomplete, debugger and refactoring tools. Some will even check your Python code for little mistakes and encourage best practices through warnings. IDE will help you to find bugs and develop code faster. Learn basics of Python programming and syntax from online Python tutorials.

 

What you need to learn

  1. Python Syntax
  2. String and Console output
  3. Conditionals and control flow
  4. Function
  5. List and Dictionaries
  6. Loops and array
  7. Classes
  8. File input and output
  9. Advanced topic in python

 

Here are some tips to help you make the new concepts you are learning as a beginner programmer:

  1. Code Everyday: Consistency is very important when you are learning a new language. We recommend making a commitment to code every day.
  2. Write it out: As you progress on your journey as a new programmer, you may wonder if you should be taking notes. This will be especially beneficial for those working towards the goal of becoming a full-time developer, as many interviews will involve writing code on a whiteboard.
  3. Go Interactive: Whether you are learning about basic Python data structures (strings, lists, dictionaries, etc.) for the first time, or you are debugging an application, the interactive Python shell will be one of your best learning tools.
  4. Become bug hunter: Once you begin writing complicated programs that you just can run into bugs in your code. It happens to all or any of us! Don’t let bugs frustrate you. Instead, embrace these moments proudly and consider yourself as a bug bounty hunter.
  5. Surround yourself with others: It is extremely important when you are learning to code in Python that you simply surround yourself with others who are learning additionally. This may allow you to share the information and tricks you learn on the approach.
  6. Teach: It is said that the most effective way to learn something is to teach it. This is often true once you are learning Python. There are many ways to try to do this: white boarding with other Python lovers, writing blog posts explaining recently learned ideas, recording videos during which you explain something you learned, or simply talking to yourself at your computer.
  7. Pair program: Pair programming is a technique that involves two developers working to complete a task. The two developers switch between them. One developer writes the code, while other helps guide the problem solving and reviews the code as it is written. Switch frequently to get the benefit of both sides.
  8. Build something: For beginners, there are many small exercises that will really help you become confident with Python.

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