If you’re new to data science/analytics or transitioning from a different field, here are ways you can prove your skills or experience to potential employers:
• Projects
• Portfolio Site
• Tableau Public Profile
• Certifications
• Leveraging previous roles
Details below ⬇️
1/ Data Projects: I listed this first because working on projects help you build your skills in whatever course you’ve learnt. Select projects that focus on major areas in a real-world data problem. You can check my Medium profile for project examples and others on @TDataScience.
3/ Projects also give you talking points for interviews. For most hiring manager interviews I had before I got my first DA role, I was asked about my projects as they were on my resume. Aim to have 2-3 solid projects on your resume. I’ll do a deep dive on projects soon…
4/ Portfolio site: This is a website to consolidate your work. I built a website using GoDaddy after I had multiple projects & dashboards so people can view them in one place. There are free options like Google Sites, Disha, GitHub pages etc. Have the link on your resume.
5/ Tableau Public Profile: While this is optional, if you’re into data visualization, I’ll recommend this. I love building custom interactive dashboards and with @tableaupublic, others can view & interact with them. It also helps if the company you’re applying to uses Tableau...
6/ If you use PowerBI, it doesn’t put you at a disadvantage. You can put static dashboard images or a clip of the interactive dashboard on your portfolio site. To host PowerBI dashboards & allow others interact with it, you need a subscription so this is the most viable option…
7/ Certifications
To be honest, I rarely got asked about certifications. They’re nice-to-haves ensure you can back up whatever skill is on the certificate. Certifications prove commitment to learning & self-development. Also,it might give you an edge over other candidates…
8/ Leveraging previous roles
I will do a separate thread on this because I’ve reviewed resumes and seen people struggle with this a lot. You should be highlighting only relevant data-related activities from your previous roles on your resume and leave out unrelated activities.
9/ Hoping this helps someone on their journey. If you need to chat about this and more. Visit my Linktree link linktr.ee/JessAnalytics
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Hi guys, Microsoft & Udacity are offering 150 fully-funded scholarships for 2 data nanodegree tracks
1. Data Analysis & Visualization using Power BI (for data newbies) 2. AI Engineer using Microsoft Azure (for experienced practitioners)
Deadline: 18-Apr-22. See details below ⤵️
2/ Both programs will be online & self paced for 3 months. For the Data Analysis & Visualization track which is for those trying to break into the data field, the only prerequisite is to know Microsoft Excel at a basic level. To register ➡️ emc.udacity.com/c/msft/catalog…
3/ The AI Engineer track using Microsoft Azure is for more experienced data practitioners. Prerequisites include: Basic programming using Python (OOP, creating simple automation scripts) and some Azure knowledge. To register ➡️ emc.udacity.com/c/msft/catalog…
When asked in an interview if you are familiar with a certain software, programming language or skill, DO NOT just say “Yes I can use Excel very well” or “I’m proficient in Python”. Provide context with examples. Details below ⤵️
2/ Interviewer: On a scale of 1-10, rate your Excel skill for me.
You: I would give my self a 9 because I consider myself an advanced user. I can use stats, logic & lookup functions in Excel. I also use Pivot tables to summarize large datasets to get insights. In my previous
3/ … job, I created an automated Excel sheet using VBA that helped with collating and analysis of man-hours from different contractors and generated weekly reports for my manager.
In one month I’ve gotten over 20 interview requests from various companies thanks to my awesome resume & God 😊. If you are a recent graduate or transitioning to Tech, this THREAD would be useful
Some Tech roles that have low barrier to entry include Data Analyst, Data Scientist, Front End Developer, Product Manager or UI/UX Designer etc. You can be self-taught in any of this & land your dream job. Don't forget to RT or LIKE so others can learn too.
2/ RESUME SECTIONS
Your resume should have these sections
• Basic Information: Name, Email, Phone Number, LinkedIn URL, Portfolio Website & Location
• Skills: Technical skills (70%) & Soft skills (30%)
• Projects
• Work Experience
• Education/Certifications
• Volunteering
1. YOUR RESUME & COVER LETTER
- Use a one-page resume for Tech jobs (<5 yrs experience) ✅
- Your Cover letter should have same template as your resume 💌
- Have an awesome LinkedIn profile. Employers ask for LinkedIn URLs
- For free resume templates, continue reading
2. JOB APPLICATION
- I use @LinkedIn for 80% of applications, others are referrals 😊
- Target companies that have fewer applicants & recent openings
- Don’t limit your search to your country ❌
- Use LinkedIn "Easily apply" feature to apply to jobs quickly (5 jobs in 5 mins)
Lowkey. I just got another LinkedIn connection from the Co-founder of a global tech company whose software is being used in over 150 countries and 30,000 organizations. Of course, I’ve accepted the request 💕. Use your LinkedIn well if you’re serious about career advancement 📈.
LinkedIn should be your priority if you’re a professional. Forget Twitter and Instagram. Check my @LinkedIn profile activity, you’ll see I comment and post every other day. Well, enough said. Watch out for info on the video from @datatechspace LinkedIn session last weekend.
My day was awesome yesterday. Hosted our Linkedin Profile review session with @MaryseAnalyse & @tu_babs for @DataTechSpace fam & others outside DTS. @wbezeani was awesome with the notes @sustainablyally did amazing with answering some questions as you’ll see in this THREAD.
1. A Profile banner makes you stand out right away 2. Let people know simply what you’re about in the header 3. The "About" section should be more personal and authentic
2/10
4. "Interviews are like acting." Play your part well 5. Personal branding is vital & @canva should be your best friend for that 6. For Work Experience,
Quantify what you’ve done. Show how you solved a problem, what tools used & the results (e.g percentages, numbers etc.)