Week 5: Optional: Engaging in the data community

To manage your presence as a data analyst, you need to be intentional about how you present yourself online and offline. Here are some tips:

Online

• Create a professional website or blog. This is a great way to share your work, thoughts, and ideas with the world. Be sure to include your resume, portfolio, and contact information.
• Be active on social media. Share articles, blog posts, and other relevant content. Engage with other data analysts and professionals in your field.
• Connect with other data analysts. Join online communities and forums. Attend online events and webinars.
• Share your knowledge and expertise. Write articles, create videos, and give presentations. This is a great way to establish yourself as a thought leader in your field.

Offline

• Attend industry events. This is a great way to meet other data analysts and professionals in your field. Network with people and learn about new opportunities.
• Get involved in your local data community. There are often meetups and other events happening where you can connect with other data analysts.
• Volunteer your time. This is a great way to give back to your community and gain experience. You could volunteer to mentor new data analysts or to help with data science projects.

Tips for managing your online presence

• Be consistent. Post regularly and engage with your audience.
• Be authentic. Be yourself and let your personality shine through.
• Be positive. Focus on the positive aspects of data analysis and your career.
• Be professional. Avoid posting anything that could be considered offensive or unprofessional.
• Be mindful of your privacy. Be careful about what information you share online.

By following these tips, you can manage your presence as a data analyst and build a strong reputation for yourself.

Here are some additional tips for managing your online presence:

• Use a professional profile picture and header image. Your profile picture and header image are the first things people will see when they visit your website or social media profiles. Make sure they are professional and represent you well.
• Write clear and concise bios. Your bio should be a brief overview of your experience and expertise. Be sure to include your skills, interests, and goals.
• Use keywords throughout your online presence. This will help people find you when they search for data analysts online.
• Keep your online presence up-to-date. Regularly review your website, social media profiles, and other online presence to make sure that they are up-to-date and accurate.
• Monitor your online reputation. Use Google Alerts or other tools to monitor what people are saying about you online. This will help you to identify any potential problems and address them quickly.

By following these tips, you can manage your online presence effectively and build a strong reputation for yourself as a data analyst.

Hey, it’s great to have you
back! So far we’ve covered everything from using SQL to the key aspects of data ethics. You’ve developed a huge range of skills, and
they’re all going to help you on your journey to
a career in data analytics. But you don’t have to do
everything on your own. As a data analyst, you’ll be part of a
growing data community. By building a consistent and professional online presence, you’ll be able to
connect to others in your field and
expand your network. Coming up, you’ll
learn how you can get started building your
online presence. Or if you’re already
part of the community, how you can take your online
network even further. With remote, online work
becoming more and more common, so is online networking. That means having and maintaining a well-developed
online presence could open the door to so
many new opportunities. I find myself reaching
out to people I’ve worked with throughout my
career to stay in touch, ask them questions about
their experiences, and just see what interesting
things they’re doing, and that’s only
possible because I keep up my online presence. Join me in the next
video to get started building your online
presence, and get connected!

Here is a tutorial on why an online presence is important in data analytics:

Why an online presence is important in data analytics:

• Visibility: A strong online presence makes you more visible to potential employers and collaborators. When recruiters and hiring managers are looking for data analysts, they often turn to LinkedIn and other professional networking platforms. If you have an active online presence, you’re more likely to show up in their search results.
• Credibility: A well-maintained online presence can help to establish your credibility as a data analyst. By sharing your work, insights, and expertise online, you can demonstrate your skills and knowledge to the community. This can help you to build trust with potential employers and collaborators.
• Networking: An online presence makes it easier to connect with other data analysts and professionals in your field. You can join online communities, attend virtual events, and participate in discussions on social media. This is a great way to learn new things, stay up-to-date on the latest trends, and find new opportunities.
• Collaboration: An online presence can help you to collaborate with other data analysts on projects. There are many online tools and platforms that make it easy to share data, share code, and work on projects together. This is especially important for remote work, which is becoming increasingly common in the data analytics field.

How to build a strong online presence as a data analyst:

• Create a professional website or blog. This is a great way to showcase your work, share your thoughts and ideas, and establish yourself as an expert in your field. Be sure to include your resume, portfolio, and contact information on your website.
• Be active on social media. Share articles, blog posts, and other relevant content. Engage with other data analysts and professionals in your field. Use relevant hashtags to reach a wider audience.
• Contribute to open source projects. This is a great way to gain experience, learn new things, and build relationships with other data analysts.
• Attend online events and meetups. This is a great way to learn from other data analysts, network with professionals in your field, and find new opportunities.
• Get involved in the data community. There are many online and offline communities for data analysts. Get involved in these communities to learn, share, and collaborate with others.

By following these tips, you can build a strong online presence that will help you to advance your career in data analytics.

Hey again. Today,
a lot of us spend a lot of time connecting
with people online. We stay in touch with family and friends we can’t see everyday, or post about what we’re doing, eating, and watching
on social media. But our presence online
goes beyond the personal. A consistent and professional
online presence is an important tool in building
a career in data analytics. A professional online presence is important for a few key reasons. First, it can help potential
employers find you. Second, it lets you make connections with other data
analysts in your field, learn and share data findings, and maybe even participate
in community events. Keep in mind that a lot of
networking happens online now. If you aren’t keeping up
your online presence, you might be missing out on great opportunities
without even knowing it. There are lots of different professional sites
that you can take advantage of as you start building your own
online presence. For now though, we’ll focus
on LinkedIn and GitHub. LinkedIn is specifically
designed to help people make connections with
other people in their field. It’s a great way to follow
trends in your industry, learn from industry leaders, and stay engaged with the
wider professional community. And if you’re actively
looking for a new job, LinkedIn has job boards
that you can search. You can even narrow down your location to see
who’s hiring near you. Plus, job recruiters
frequently use LinkedIn to find potential data
analysts for new projects. It’s always a good idea to keep your LinkedIn profile up
to date with your resume. You might find yourself
being recruited. LinkedIn also lets you connect with people
and build a network. You can share exciting
things happening in your professional life and keep up with where
your connections go. You never know when you might end up working with someone again. With LinkedIn, you can
be endorsed for having job skills or endorse
other people. If you impress someone
at a previous job, they can let other people know just how awesome you
are to work with. GitHub, the other website I mentioned earlier, is
a little different. GitHub is part code-sharing
site, part social media. It has an active community collaborating and sharing
insights to build resources. You can talk with other
GitHub users on the forum, use the community-driven wikis, or even use it to
manage team projects. GitHub also hosts community
events where you can meet other people in the field
and learn some new things. GitHub has a lot of features
for you to check out. The best way to learn more about it is to check it
out for yourself. We’ll also be talking more about GitHub later in the program. Sometimes if you’re
looking for a new career, finding someone who has
something in common with you, like shared interests
or the same hometown, and reaching out to
them, can help a lot. Just a 15-minute
conversation with someone could set you on
the path to a new career, whether that’s on a professional networking site like LinkedIn, or at a community event
hosted by GitHub. LinkedIn has become one of the standard professional
social media sites, so it’s a good starting place for building your online presence. GitHub offers a lot of really great tools for data
analysts in the community. If you don’t already have
accounts on these sites, challenge yourself
to set them up now. Connect with other people. Share some updates about what you’re working on right now. If you’re already using LinkedIn
and GitHub, great news: we’re going to talk more
about how to enhance your existing social
media presence next time. See you soon.

Tips for Enhancing Your Online Presence in Data Analytics

In today’s digital world, it’s more important than ever to have a strong online presence. This is especially true for data analysts, who are in high demand and need to be visible to potential employers and clients.

Here are some tips for enhancing your online presence in data analytics:

1. Create a professional website.

Your website is your home base on the internet, so it’s important to make sure it’s well-designed and informative. Include a brief bio, your skills and experience, and links to your social media profiles and other relevant content.

2. Write blog posts and articles.

Sharing your knowledge and insights through writing is a great way to establish yourself as an expert in your field. Write about topics that are relevant to data analytics and that you’re passionate about. You can publish your blog posts on your own website or on other platforms like Medium or LinkedIn.

3. Be active on social media.

Social media is a powerful tool for connecting with other data analysts and potential employers. Share interesting articles, participate in discussions, and post about your own work. Be sure to use relevant hashtags so that people can find your content.

4. Contribute to open source projects.

Contributing to open source projects is a great way to gain experience, learn new skills, and network with other data analysts. There are many open source data analytics projects to choose from, so find one that interests you and start contributing.

5. Attend meetups and conferences.

Attending meetups and conferences is a great way to network with other data analysts and learn about the latest trends in the field. Be sure to participate in discussions and introduce yourself to new people.

6. Build relationships with other data analysts.

One of the best ways to enhance your online presence is to build relationships with other data analysts. Follow them on social media, comment on their blog posts, and reach out to them directly. The more people you know in the field, the more likely you are to hear about opportunities.

7. Be consistent.

The key to enhancing your online presence is to be consistent. This means regularly publishing new content, engaging with others on social media, and attending industry events. It may take some time to see results, but if you’re consistent, you’ll eventually build a strong online presence that will help you achieve your career goals.

Here are some additional tips that are specific to data analytics:

• Showcase your work on GitHub. GitHub is a popular platform for hosting and sharing code. You can use it to showcase your data analytics projects and skills.
• Share your data visualizations on Tableau Public or another data visualization platform. Data visualizations are a great way to communicate complex data insights in a clear and concise way.
• Participate in data analytics challenges on Kaggle or other platforms. Data analytics challenges are a great way to test your skills and learn from other data analysts.
• Become a speaker or panelist at data analytics events. Speaking at events is a great way to share your knowledge and expertise with others.

By following these tips, you can enhance your online presence and establish yourself as a leading data analyst in your field.

Hello. Let’s talk
about social media. Today, there’s 3.8 billion people using social
media around the world. There’s a good chance
you probably already have an online
presence. That’s great. It means you’re already
connecting with people online, maybe even professionally
on websites like LinkedIn. If you aren’t, getting started is as easy as signing up today. But there’s some
really easy ways you can enhance your
online presence even more and use your
existing profiles to build your
professional identity. One of the first things you should ask yourself
when looking at your new or existing
online presence is this: would you be okay with
potential employers and colleagues seeing your
social media profiles? Try putting yourself
in their shoes. When a potential employer is looking at your public profiles, they’re asking themselves
if you’re the right person to represent their
company and values. Is there anything on
your current accounts that could make them
think otherwise? If you want to limit
what you share, be sure to check the privacy
settings on your accounts. If they’re set to public, anyone can see
everything you post. You can also make specific
photos or albums private, but remember this doesn’t
erase them from the internet. Keep in mind, changing
your privacy settings doesn’t necessarily keep
all of your posts secure, so you should always think
carefully before you post. Now the best way to make
sure that your posts and photos are appropriate
and professional is to delete any
that you wouldn’t want your future boss to see. If you’re getting ready to upload photos for the first time, think about how those pictures represent you before
posting them. Feel free to back up these photos for your personal files, but maybe don’t put them
on Facebook or Instagram. Speaking of Facebook
and Instagram, there are some easy
options for deleting posts on these platforms. Both Facebook and Instagram have an archive function that allows you to remove posts
from your profile. You can even mass delete
posts on Facebook. While you’re at it,
check your Twitter. Your social media profiles
are probably connected, so it’s important to make
sure that they’re all representing you the way you want to be seen
professionally. A good rule of thumb: your posts should
be family-friendly. This goes for photos
and text posts. Check to make sure
your content and language is appropriate
for the whole family. While you’re working on
enhancing your online persona, a professional profile
picture is a great touch. Even if your account
is set to private, recruiters will likely still be able to see your
profile picture. Having a photo for
your LinkedIn profile is important because it significantly increases your chances
of being contacted. Make your profile picture
one that represents your professional side in
the best way possible. Once you’ve gotten your
profiles up and running, post mindfully. Think about the professional image you are trying to create and stick to it. This means curating posts
for different platforms. Decide which platform you want to use for
family and friends, like Facebook and
Instagram, and keep updates about your personal
life on those platforms. Use professional platforms,
like LinkedIn, for posts related to your work life and building professional
relationships. A huge number of companies
and hiring managers use online sources to
identify and pick candidates. So it’s important to make sure that your online presence has a positive impact
on your real life. Make sure your online
presence is job appropriate by making
your accounts private, deleting posts you
wouldn’t want your boss or colleagues to see, and
posting mindfully. Don’t be afraid to ask
someone you respect professionally to take a look
and give you some feedback. That can be a big help in
building that online presence and using it to make connections within your professional
community. Now that we’ve built and
enhanced our online presence, let’s learn more about
building networks and reaching out to other professionals.
See you soon.

Searching on job boards is the most effective way to connect with fellow data analysts.

False

Networking is the most effective way to connect with fellow data analysts. When you’re networking, you can meet other professionals and participate in industry-related groups.

Networking can take which of the following forms? Select all that apply.

Meet in person with someone in your field

Participate on an online forum dedicated to a topic in your field

Meet online with someone in your field

Networking can involve meeting with someone in person or online, as well as participating in an online forum.

Which profession does
the best networking? The fishing industry. But in all seriousness, the work we do has everything
to do with people. Once you’ve learned
the skills and developed a strong portfolio, the next step is to connect with people in your profession or industry who can help you use those strengths
to build a career. In this video, we’re going
to talk about networking. Networking can be called professional
relationship building. It’s all about meeting
people both on and offline and building
relationships with them. Networking will help
you meet people who are similar
and different from you and also stay current with what’s going on in your fields. Even within the
organization you’re in, you want to network
with other teams to better understand the
projects you’re working on. Here’s the truth, lots of the best opportunities
aren’t posted on job boards. They’re out there
in the real world. Problems waiting to be solved, innovations just waiting
for inspiration. Building your network
with other data analysts could really increase your odds of breaking into the field. Actually, networking with any industry professionals
can help you do that. Here’s a few things
you can start with, search for public
meetups in your area. There’s usually at least
one in every major city. Just google data
analytics meetups near you or search on meetup.com. Then you can learn more
about different types of data analytics or share your interest with other
people in the field. It’s also good to remember that we live in a digital world, so don’t feel confined
to in-person networking. Some of the best data
analysis influencers are on social media. Follow interesting companies or thought leaders on
LinkedIn, Twitter, Facebook, and Instagram,
interact with them, and share their content. If there’s a post you like, maybe leave a comment
explaining why. Digital networking can take
you anywhere these days. On top of that,
there’s also plenty of great data podcasts to follow, Not only can they
help you stay up to date with how the
industry is evolving, but hearing the concepts
repeated over time, can help build your confidence
in your own knowledge. There’s also a ton of blogs and online communities
like O’Reilly, Kaggle, KDnuggets, GitHub and Medium, that can help you connect
with peers and experts. The possibilities are virtually limitless when it comes
to building your network. In our next video, we’ll talk about one of the most effective methods,
finding a mentor. Trust me, you don’t
want to miss this.

It was Maya Angelou
for Oprah Winfrey. Steven Spielberg for JJ Abrams. And Warren Buffett
for Bill Gates. It’s a mentor, and
having one can have a huge impact on your career
and your life in general. Basically, a mentor is a professional who shares
their knowledge, skills, and experience to
help you develop and grow. About 3 out of 4 people
think that having a mentor is an important part of professional development. But studies found only 37
percent actually have a mentor. As a data analyst, you’re not required
to have a mentor, but those who find a good
one never forget them. Mentors come in many forms. They can be trusted
advisors, sounding boards, critics, resources
or all of the above. Sometimes the relationship
happens naturally, but usually you need to formally
ask them to mentor you because they might not know you’re interested in
their mentorship. I’ve tried to seek out mentors at every stage of my career, from school to my
current role at Google. It’s always good to make sure your mentors have the time
to support your growth and it’s just as
important for you to keep up a professional
relationship with them. On top of a mentor, a sponsor can also help you
in your career development. But we’ll talk more
about that a bit later. It’s very important to figure out what you’re looking
for in a mentor. This will help narrow down your list of potential
professionals. Try thinking about
your strengths and challenges at work
and how you’d like to grow as a data analyst. And share that openly with
potential mentors! It’s also great to think about shared experiences
or common ground. Maybe you’re a veteran
who would benefit from the guidance of a data
analyst for the military. Or maybe you just think
you could really benefit from talking with someone
from your hometown. There’s no one right way to
find the perfect mentor. Your mentor doesn’t even
have to work with you. If there’s no one
you can connect with in your current
work environment, you can find mentors anywhere from a social
media platform, networking event or
mentor matching program. For instance, websites
like Score.org and MicroMentor.org and an
app called Mentorship allow you to look for specific credentials
that match your needs. You can then arrange
dedicated times, maybe on the platform, to meet
up or talk on the phone. Personally, I like
reaching out with a friendly email or message on a professional
networking site. If you go this route, take some time to describe
your career goals and how they might align
with their own experiences. Try mentioning some things you particularly like about their
work or published content. From there you can easily
suggest a coffee chat, virtual meetup, or email
exchange to get things going. Once you’ve had a few exchanges, be sure to check
in with yourself. Make sure it’s a natural fit and you’re getting
everything you need. It’s also a good idea
to check in with your mentor to make sure it’s
working well for them too. Remember, this is a partnership. You and your mentor are
equal participants. The more authentic and honest you are about it, the
better it will go. For example, it’s
always a good idea to share your gratitude for
their time and effort. Now, while a mentor
will help you gain critical skills and navigate
challenges at work, a lot of people find that having a sponsor can take their
career even further. A sponsor is a professional
advocate who’s committed to moving a sponsee’s career
forward with an organization. To understand the difference
between these two roles, think of it like this. A mentor helps you skill up, a sponsor helps you move up. Having the support of a sponsor is like having a safety net. They can give you the confidence
to take risks at work, like asking for a new
assignment or promotion. Let’s talk about how
you get a sponsor. Well, unlike mentors, you don’t get to choose the sponsor. The sponsor almost
always chooses you. The best course of
action is to commit yourself to doing your
best work at all times. There’s a good
chance someone with influence will take notice. Now that we’ve seen
the importance of networking in relationships, it’s a good idea to take
some proactive steps. First, build and nurture
your LinkedIn presence. Next, look at your current
social media presence and make sure it’s
helping you put your best foot forward. Finally, always be open to connecting with peers
and colleagues. You never know what great things a conversation
will bring.

Hi. My name is Rachel, and I’m the business systems and
analytics lead at Verily. I’ve been lucky enough to have some really great mentors over the course of my
career, and I cannot emphasize enough how important
it is to have someone in your corner as you’re
navigating all of the different ins and
outs of your career. For me, I have had some
wonderful mentors who have guided me through some really tough
career decisions, starting way back at
the very beginning. My first mentor was a
professor at school, and this professor gave
me wonderful advice of how to follow my dreams and how to lean into what
I was interested in. I think it’s very important to also have great mentors at work. My mentor helps me navigate all the ins and outs
of my organization, all the ins and outs of
the politics sometimes, and also helps me make
decisions on what to do next. It’s nice to have a mentor who’s outside of what’s going on, but it’s also really
nice to sometimes have a mentor who understands
the environment. I catch up with my
mentor regularly just to touch base, just to see how we’re doing, to maintain a relationship, but I specifically
will schedule time with my mentor when
I’m wrestling with some sort of tough question or when I have a pivotal
moment coming up. For example, I’ve had some
great conversations with my mentor about whether I really lean in on the finance
side of my career or whether I want to lean in on the IT side and the system side, and helping make some of those
decisions about where to focus and what to
take some classes in, what to continue education on, and where to lean in
with upcoming projects. Talking that through
with somebody has really helped me make sense of some jumbled thoughts and figure out where to go next. I think the most important thing to look for in a mentor is somebody who you will get along with and somebody
that you trust. This is a person that you
are going to go to with some of potentially the toughest
choices of your career, looking to them for guidance and for help
and for support. My most successful mentors, the most successful mentoring
relationships that I’ve had, have been with people who I’m close to personally or professionally and
who I trust and who I feel comfortable sharing potentially deep thoughts with, and a lot of potentially sensitive details
about what I’m thinking, what I’m going through,
and what I want so that they can
help me make sense of that and figure
out what to do. I love now that I can pay that forward and share
some of the wisdom that I’ve learned
from my mentors and from some of the experiences
that I’ve had in my career and help share that with someone
else so that they can navigate some of
their same decisions and some of those
same situations, and hopefully learn from some of my experiences and
some of my mistakes, and helping pay that
forward is what’s really exciting about
being a mentor.

Welcome back. Before we get started, let’s take a moment
to celebrate how far you’ve come and everything you’ve learned in this course. You’re almost halfway
through this program. Thanks for sticking with it. So far you’ve learned about data types and
data structures and discovered the importance of bias and credibility
in data preparation and analysis. We also explored databases, different ways
to organize and protect your data and even how to join the data
analytics community. All of this will help you
prepare your data for the next step in the data
analysis life cycle: processing. Processing your data to make
sure that it’s clean and complete is the last step you take
before you start analyzing it. And that’s exactly what
the next course is all about. I’m excited to reintroduce fellow Googler,
Sally, Performance Measurement and Analytical Lead. She’s going to be your guide
throughout this next course, which is all about cleaning and
processing your data for analysis. Coming up, you’re going to learn
about integrity and data analytics, basic data cleaning skills and
data cleaning in SQL. We’ll also learn how to verify and
report your data cleaning results and, if you’re up for it,
adding data to your resume. Before you go, let me just say one more
time: fantastic job! When you’re ready, you can go ahead and
start the next course. Sally will be there to
guide you through it.