A new ad campaign from Cheetah Digital – which stars Jerry Seinfeld’s age-old nemesis… Newman. The campaign is designed to highlight how manipulative third-party data can be, and what’s really going on behind the scenes when consumer data is captured and tracked online.
Starring Wayne Knight (known not only from Seinfeld but also for roles in Jurassic Park, Toy Story 2, Third Rock, Rat Race, and of course many others), the campaign exposes how third-party consumer data is tracked online and used by marketers. The practice behind this type of data collection and manipulation is personified in the classic profile of Newman himself. Links to the videos that have just been released include:
The reason for this campaign and the solution? In our annual survey of more than 5,000 global respondents, Cheetah found that 70% of consumers do not trust social media platforms with their data because of privacy issues, and 37% regularly delete cookies all together. Especially as legal enforcement tightens and regulations of ad targeting increase, this is not a sustainable way for brands to reach customers. Instead, Cheetah advocates for zero-party data, which is provided voluntarily by customers and designed to meet their own unique personal preferences – both in terms of communication and offers.
In this video I compare the benefits of pursuing a data science certificate versus a bootcamp or masters degree. These all can be reasonable options depending on your personal situation. Watch this video to see which one may be right for you
Data Science Certificate
– Positives (Inexpensive, low time commitment, can help you build out your portfolio)
– Negatives (Likely wont get you a job, not very academically rigerous)
– Good for someone with a phd looking to get data science on their resume or a beginner who wants to see if data science would be interesting to them
Data Science Bootcamp
– Positives (Good networking and resume resources, reasonable academic rigor)
– Negatives (Very expensive, hit or miss with education, very time consuming)
– Good for someone who has a good portfolio and needs the networking help, someone with a phd in an unrelated field or masters in a related field, or someone who has extra cash to spend
Data Science Masters degree
– Positives (checks the graduate degree box, access to university network and resources, internship opportunities, decent exit opportunities)
– Negatives (Most expensive, very time consuming)
– This is a good option for someone who is already an analyst and wants to move into a data science role or someone who wants to become a data analyst but has no relevant experience.
5 Things to prepare before a Data Analyst interview:
In this video, we will go through the 5 things you need to prepare before a data analyst interview. Data analyst interview questions and answers & more.
1 – Research the Company & the Role
The first thing you should do, is simply go to the company’s website and read about the company. You should make notes about:
• What does the companies do?
• When it was founded and by whom?
• Who runs the company now; CEO name?
• What is the company’s mission & vision?
• What are the company’s core values?
• What industry is the company operating in? (tech? retail? Finance, etc)
• Who is the company trading with? Who are their clients / customers?
• Learn about what the analytics team you are about to join does
2 – Prepare for the most universal & frequently asked questions
There are some “universal” interview questions which apply to all roles (not just Data Analysts) and are almost always asked in interviews. Make sure you prepare for the following questions:
• Tell me about yourself?
o Talk about your academic background and focus on the data related modules / projects. Talk about your work experience with a focus on the analytical tasks you were performing. Close with a reason “why you are there”; which is obviously going to be that you love analytics and you love that company 😊.
• Why you want to join this company?
o Pick the “thing / project” that the company completed from their website and talk about how that “thing / project” excites you and makes you want to work for that firm
• Why you want to become a Data Analyst or pursue a career in data analytics?
o Pick a data related project or a data related task you were doing that you love doing it and talk about that
• What do you know about this company?
o Talk about what I mentioned in Step 1 (beginning of the article)
• Why should I hire you?
o Talk about all the data related skills you have and make sure you link them with what the Job Description asks the candidate to have. This “link” is crucial
• What are your strengths?
o Pick 2 / 3 data related strengths and talk about times you applied them
• What are your weaknesses?
o Pick a weakness which is not a major in data analytics like “I get nervous speaking in large groups” and make sure you talk about the steps you are taking / took to overcome this.
3 – Brush your technical skills
The majority of the data analyst interviews require you to take some sort of test; which is usually an Excel test. If you are applying to an experienced data analyst job then you will probably need to brush your SQL skills too. For the Excel test, make sure you practice the following:
• Creating / sorting / filtering tables
• Aggregating data
• Summarizing data
• Creating graphs / charts
• Pivot Tables
4 – Prepare to speak about a “Data” project you completed
Even if you are not asked, try to find a way to talk about a data project you have completed either at University, on-line or during work experience. This is an opportunity to show the interviewer that you have experience working on data projects. Talk about the “problem formulation” phase, the data gathering phase, the cleaning phase, the transformation phase, the tools used for the analysis, the techniques you used for the analysis and the outcome of the project.
5 Bonus tip – Link all your answers with data related skills / tasks
Since you cannot possibly prepare for all possible questions, especially the ones about your previous work experience, you will need to make sure that you link all your answers to data related skills. For example, if the interviewer asks you to tell him about your work experience, make sure you flash out skills like communication skills, management skills, speak about the analytical tasks you were performing daily and the related tools like Excel. Don’ just say “I used to work as a “barman” and my job was to serve drinks. Expand on data related skills. I have made a video where I speak about the data related skills (link in the description).
Web Analytics SEO Course by Academy Europe https://www.academyeurope.org/courses/web-analytics-seo-course/
Web Analytics is a technique that you can employ to collect, measure, report, and analyze your website data. It is normally carried out to analyze the performance of a website and optimize its web usage.
Web Analytics is an indispensable technique for all those people who run their business online. This is a comprehensive tutorial by Academy Europe that covers all the basics of web analytics.
I am a Digital Marketer by passion and a Developer by profession. With experience and expertise spanning around 10 years, in the Digital space.
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