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Data, AI, and Cloud-Computing Scholarships From Udacity

Global learning platform Udacity on Saturday announced that applications were open for 15,000 scholarships in Data, AI, and Cloud-Computing

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Udacity, data, AI, Scholarship
The scholarships are aimed at both beginners (basic computer skills are recommended) and experienced programmers. Pixabay

Global learning platform Udacity on Saturday announced that applications were open for 15,000 scholarships in Data, AI, and Cloud-Computing funded by German multinational corporation Bertelsmann.

This scholarship programme is part of a three-year commitment between Bertelsmann and Udacity to offer 50,000 scholarships globally across these emerging technologies.

“The world is becoming increasingly digital and as a result, every job in every industry is becoming a technology job. And while the industry demand for technical skills and proficiency is high, the supply is low,” said Lalit Singh, COO, Udacity.

Applicants are expected to send their applications by November 6, 2019.

 

Udacity, data, AI, Scholarship
Udacity will select the scholarship recipients in November 2019 and the winners will begin the Challenge course in the same month. Wikimedia Commons

Applicants must focus on these three subjects while applying for the scholarship: Cloud — applications for online-based IT infrastructure; Data — applications for the analysis and interpretation of large volumes of data; Artificial Intelligence — applications related to machine learning and intelligent algorithms.

These scholarships are the first stage of a two-phase global initiative by both the organisations.

Those selected will first participate in a three-and-a-half-month Scholarship Challenge out of which the top 5,000 performing Challenge phase students in each subject area will be awarded a full scholarship for a Udacity Nanodegree programme: Cloud DevOps Engineer, Data Analyst or Deep Learning.

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“We are particularly looking at opportunities in the fields of Cloud, Data, and Artificial Intelligence and consider it our responsibility to empower as many people as possible to be successful in the digital world, and to support policymakers in this,” said Thomas Rabe, Chairman and CEO of Bertelsmann.

Bertelsmann and Udacity will select the scholarship recipients in November 2019 and the winners will begin the Challenge course in the same month.

Depending on the individual’s pre-existing knowledge, participants can expect to spend between three and five hours a week for the course.

The scholarships are aimed at both beginners (basic computer skills are recommended) and experienced programmers. (IANS)

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How to Prepare For Your First Job As a Data Analyst

A data analyst should work with numbers, and there is no escape from numbers in analytics

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Analyst
Data analyst is the one who collects the data, processes the data, and organizes data into the charts or graphs, or assigns the numerical value for the better understanding and taking important business decisions. Pixabay

Organizations in all industries rely on raw data to make critical business decisions. The raw data includes sales, social media, inventory, etc. They use this data to develop new products, to enter into new markets, to make investments, and even to target customers. Hence, comes the role of a Data Analyst

It is very difficult to handle the raw data for the organizations so, and there comes the role of a data analyst. Data analyst is the one who collects the data, processes the data, and organizes data into the charts or graphs, or assigns the numerical value for the better understanding and taking important business decisions. With the growing dependency of companies on data analysts, professionals are considering taking data analytics courses to get ahead in this domain. 

What does a Data Analyst can do?

Data analysts ascertain how data can be used to answer questions and solve real-life problems. They typically work with the computer system and calculation applications to figure out numbers. Also, they need to have the ability to present the data in interesting ways and explain the actual differences in numbers they make in the future.

Key responsibilities of a Data Analyst

  • Collecting and interpreting the raw data
  • Analyzing the results from the interpreted data
  • Reporting the results in an interesting and understandable way
  • Identifying patterns and trends in data
  • Designing, creating and maintaining a database
  • Defining new data collection and analysis processes 

Qualification required for Data Analyst 

Degree in mathematics, computer science, statistics, and economics subjects is beneficial in developing a career in data analysis.

Skills required for Data Analyst

  • Ability to analyze large data
  • Ability to write comprehensive reports
  • Strong verbal and non-verbal skills
  • An analytical and problem-solving mind
  • Attention to details

How to prepare for the Data Analyst interview

Now comes the question How should I prepare for the role of Data Analyst? And How should I prepare for the interview?

Not every data analyst role is the same in the company, and it may vary in various stages of business growth with a different set of data challenges.

Remember they are hiring you to solve their problems, so go through the company profile for a better understanding of the business they do

  • What is their business model?
  • How do they make money?
  • What are the important metrics to track?
  • At the time, what might be their data problem?
  • How are their customers like?

These questions will help you get a clear idea of the company and business they do. This is the first level of preparation for the interview.

Here comes the second level of preparations that are reviewing your skills, it is all about knowing where you fit in these 3 parameters,   

  1. Business sense
  2. Data or number sense and
  3. Database sense

Good Business Sense

For a Data analyst, it is not just assigning a numerical value to the raw data, but it is to have a piece of knowledge to analyze the business model and should be able to detect the threat.

A good analyst should have a good business sense and technical knowledge in the business world that comes with experience, critical thinking, and plenty of trial & error.

Data or number sense

A data analyst should work with numbers, and there is no escape from numbers in analytics. Numbers serve as a measurable value that supports decision making in a company.

A good analyst should have a good sense of numbers, having the ability to make sense of numbers will let you speak about the company fluctuations and explains a picture of the current situation.

The analyst should know what number to be chosen to make the best sense of data report, and what kind of KPIs should be used to know who the business is doing. And it raises the question to review the calculations and company conversions.

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Organizations in all industries rely on raw data to make critical business decisions. The raw data includes sales, social media, inventory, etc which an analyst needs to look upon. Pixabay

Good Database skills

For a Data analyst, it is a must and should the requirement of having good technical skills and be able to operate different programming languages such as Python, R, SQL, etc.

SQL is a basic database management language you need to focus on, SQL is the ruling language in the analytics world, and it continues to rule. 

Last but not least, start attempting practice questions. By doing this, you can take inspiration for yourself and understand what an employer wants to see in you.

Few tips 

It is always suggested to show your interesting projects related to data analysis and exclude mini-projects that you have never really done. 

Showcase your degrees that indicates your potential work and interest in the field of data analysis.

A problem-solving approach is very important for data analysts so, it is well and good to practice at least 20 data analysis questions before you go for an interview.

Keep reading various blogs and communities related to data analysis.

Try to attend conferences and meets, which can develop more understanding of data analysis.

Be very creative during your interview.

Internships online coaching is a better way to start your career to data analyst.

Interview question of Data analyst

Here are some interview questions and topics. For better understanding, I have divided it into different sections.

Basic Data Analyst Questions

Here the interviewers ask the fundamental question related to the Data Analyst and its terminologies. For example,

Differentiate Data Mining and Data Analysis?

What is the process of Data Analysis?

Define Data Mining and Data Profiling?

Excel Data Analyst Questions

Excel is the simple software used to do quantitative analysis, statistical analysis with an intuitive interface for data manipulation. They ask a question related to this,

What is a waterfall chart, and when do you use it?

How to highlight negative values cells in Excel?

Statistics Data Analyst Questions

Statistics dealing with data collection and organization, analysis, interpretation, and presentation, the question related to this is,

Define the term Normal Distribution? 

What is A/B Testing?

What is the statistical power of sensitivity?

SAS Data Analyst Questions

SAS stands for Statistical Analysis System, which can process complex data and generate meaningful insights that help to make decisions in the business.

What is interleaving in SAS?

Write the basic syntax style of code in SAS?

Explain Do Index, Do While, and the Do Until loop with examples.

SQL Data Analyst Questions

SQL is known as Structured Query Language used to manage data when you do well in SQL questions, as it will be evident in your interviewer that you know how to handle databases.

What is the default port for SQL?

What do you mean by DBMS? What are its different types?

What is ACID property in a database?

Tableau Data Analyst Questions

Tableau is a program for business intelligence that lets anyone connect to the data. It visualizes and creates interactive, shareable dashboards. 

Give the difference between Tableau and Power BI?

What is a dual-axis?

What is joining and blending in Tableau?

Puzzle Data Analyst Questions

The analytic industry relies primarily on professionals who specialize in different market-based data analysis methods, but also on those professionals who have outstanding troubleshooting skills. The approach to the problem is an essential skill you need to possess. Oh yes, you should be able to explain to the interviewer your approach as well.

Graph, Growth, Progress, Diagram, Analyst, Economy
Not every data analyst role is the same in the company, and it may vary in various stages of business growth with a different set of data challenges. Pixabay

At the end

In this article, we discussed who a data analyst is? What does he do? And responsibilities, qualifications & skills required for the data analyst. We also went through the preparation and tips to crack the data analyst interview.

Now it’s up to you, follow the proper guidelines and keep practicing the things because new data is generated huge, there are various problems in processing this data so, always keep tracking the latest technologies and techniques to solve these problems.

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 It will be great if you want to share your journey as a Data analyst with us. Your trip might inspire someone to become a data analyst.