That’s not to say there aren’t females out there learning code; if you’re reading this article right now, the chances are high that you’re one of them. The problem is that many don’t know where to start a career in tech or get involved.

However, there has been a shift in popular opinion that anyone can do coding in recent years. In contrast, this shift has helped open the door for a more diverse group of people with different backgrounds and experience levels to explore programming.

It also means that many women are missing out on the great privilege of learning how to code. This blog post will discuss why learning to code can be a great career decision and give you some tips in getting started with your programming journey.

More Women Are Needed in Tech

A new study by Girls Who Code found that the number of women interested in STEM degrees has dropped dramatically over the past ten years.

This study found a 31% drop in women enrolling in computer science degrees from 2000-2010.

This has resulted in many problems for companies trying to hire new employees because they struggle to find qualified females to fill open roles within their organization.

Women make up around 24% of all workers in STEM fields, but more women are needed to fill these companies’ open jobs. The more women who enter the technology industry the better prepared the workforce will be for future employment.

Why Does This Matter

The truth is that having more women in tech leadership roles has been shown to bring about better results for companies both financially and culturally within their workforces.

This is because diversity has been shown to bring about more innovation, better collaboration with teams, and higher success rates.

The truth is that having more women in tech leadership roles has been shown to bring about better results for companies both financially and culturally within their workforces.

On the financial side, some studies show companies that have women in leadership roles see a boost in their return on equity by 34%. On top of this, Fortune 100 CEOs with diverse backgrounds make 16% more than their counterparts without diverse experience.

Thus, having women in the tech industry has been shown to bring about more successful products with lower failure rates. They are better at listening and communicating with their teams and understanding clients’ needs for a product or service.

When You Have All It Take To Become A Great Coder

Nothing should stop you from becoming a great coder. You can be the best in your field and even start a company based on your coding skills.

You Are Creative

Creativity is one of the most relevant traits you can have as you pursue your career in tech. You are constantly seeking new ways to solve problems and finding creative solutions for complex issues.

Thinking like an expert and solving problems in new ways is an essential trait for programming.

You Are Good With Programming Languages

When you are good with all coding languages, you’re equally comfortable working in any language regarding the crunch.

You can code up an idea for a web app in Ruby on Rails or Flask, then drop it down into Python if that works better; when the time is right, whip out your JavaScript knowledge and get hacking away.

You Are A Team Player

When you love helping others in your company when they need it the most, you enjoy being a member of a community committed to helping each other out, no matter what time of day it might be.

This commitment comes from an innate desire to go above and beyond for your co-workers and customers.

Working for a firm with strong values is important because it ensures that everyone can depend on each other for support.

5 Reasons Girls Should Learn How To Code

Perhaps you plan to become a software engineer, data scientist, computer analyst, or businesswoman; computer coding using programming languages is essential to acquire.

However, the following are the reasons why learning to code should make it on every woman’s to-do list:

1. You Will Take Control Of Your Career

It is like taking control of your career decision-making process when you learn how to code because it makes you more valuable in the job market.

You can also ensure that coding skills are always relevant and in-demand, which means less fear about switching jobs or getting laid off.

2. You Will Challenge The Tech Industry Standard

Coding gives girls a sense of power over the world around them, and they can create and build their future rather than wait for it to happen. It is a tool that everyone should have access to because the more people who know how to code, means new opportunities.

3. You Will Keep Your Mind Active

You won’t be stuck in an office environment doing the same thing over and over again. You might not even realize you are using coding skills daily until it comes to your attention.

4. You Will Indulge In Personal Perks

You will realize that your skillset is valued on merit, not on whether you look like a super-model or wear lipstick.

You will know the satisfaction of creating something from scratch and seeing it work right in front of you. You will be able to gain the respect and admiration of your peers.

5. Your Time Is Now 

You don’t have to wait for the ideal opportunity time before you start learning. Whether you want a new job or want more knowledge about technology and computers than is necessary for this day and age, everyone should know, even if it’s just basic HTML, CSS, JavaScript, and C++.

The Top 5 Skills Needed To Become A Great Coder

1. Coding Language

You can’t be a software developer or engineer without becoming proficient in at least one programming language like JavaScript or Python.

Also, you will need to understand how to use the standard-essential developer tools like Git, GitHub, and a lot more.

2. Self Reliance

Learning to write code can be complex, so you have to be extremely patient. You have to learn to overlook distractions and not wait for other software engineers to solve technical problems.

3. Communication Skills

Coders frequently work with teams requiring them to write code to understand and maintain other software developers.

In addition, developers need to explain complex concepts to inexperienced coders in a relatively simple way.

Coders frequently work with teams requiring them to write code to understand and maintain other software developers.

4. Recognize The Limits Of Machine Intelligence

Computers can’t think for themselves, so this is something that needs to be kept in mind. However, you’ll need to acquire a mindset where you believe the computer should only execute commands you explicitly gave.

5. Critical Thinking

Because code cannot be physically measured, you’ll need to learn how to represent it in a way that makes sense.

You must consider things from various viewpoints and make fascinating judgments based on what may seem simple.

13 Resources For Women Who Want To Learn How To Code

The following are the 13 resources for women who wish to learn how to code, but they have been divided into categories so that you can quickly discover what you’re searching for:

Website Training

1. Girls Who Code

The Institute of Women’s Policy Research survey research shows that only 20% of young women are interested in STEM courses and computer programming.

However, when it comes time to choose what to study and which profession to pursue, something happens.

Girls Who Code was created to break this cycle by providing young girls with the technical skills and self-assurance to continue their IT professions.

2. Ada Developer Academy

The Ada Developers Academy is a specialized and selective training program for women and gender non-conforming individuals who want to code.

Ada teaches women courses on Ruby on Rails, HTML, CSS, JavaScript, Git, and Source Control while relying on sponsors to pay for the intense in-class and industry internship experience (i.e., tuition is free).

3. MotherCoders

MotherCoders is a nonprofit organization dedicated to assisting women in entering the technology sector to establish successful careers for themselves.

MotherCoders’ goal is to assist women who have difficulty enrolling in educational programs to re-enter the workforce, advance their professions, and start new businesses by providing a part-time, 9-week training program (including onsite childcare) that teaches women how to code mobile apps.

4. Hackbright Academy

Hackbright Academy provides a 12 week accelerated training program for women that combines traditional classroom instruction and individual project work to give students a thorough understanding of software engineering.

5. Girls Develop It 

Girl Develop It is another organization that provides affordable web and software development education to women all across the United States.

Girl Develop It strives to give ladies the confidence to create their website and mobile applications by offering in-person courses and neighborhood help.

Online Training/Courses

6. Skillcrush

At Skillcrush, you choose the skills you wish to learn on their website. Learn web development, advanced WordPress, web design, data analytics, and even copywriting for the internet are just some examples of the type of courses available.

Although coding for women is not the only goal of these programs (about 25% of students are male), they were created to assist female students to break into their chosen fields.

7. Rails Girls 

The Rails Girls is an online resource dedicated to women who want to learn more about technology and get their ideas off the ground. Learn simple programming, sketching, and prototyping fundamentals.

In addition, get access to online web guides, materials, and tools to aid in the development of your ideas while also learning more about events where you may meet like-minded females looking to break into the tech sector.

Tutorials

It’s as simple as going online and looking for coding instructions. That said, the following are a little simpler for you by providing you with some tutorials, so you don’t have to worry yourself hunting online:

8. CSS Tutorials

Do you want to learn some CSS tactics so that you can improve your skills? Tripwire has compiled a list of the most helpful CSS lessons for you to practice on.

Each course is directed to your specific needs, so choose the one that works best for you and have a look.

9. Code Conquest Code Tutorials

Code Conquest’s collection of free code tutorials covers the most widely used website languages such as HTML, CSS, JavaScript, and PHP.

These lessons can assist you in determining whether a language is the best fit for you by providing an overview of its features.

10. Code Avengers

The interactive and engaging nature of the Code Avengers tutorials takes learning to the next level. Although not specifically targeted at women, there’s a lot to learn about how to code games, apps, and websites using HTML, CSS, Python, and JavaScript. This training is available in multiple languages and requires just 12 hours to finish.

11. Khan Academy

This nonprofit organization offers people who want to learn how to code with step-by-step video courses on programming drawings, animations, and games.

You may also learn how to create websites using HTML, CSS, JavaScript, and Python.

Slack Channels/Podcast/Videos

Here are some of the greatest Slack channels, podcasts, and videos for women who want to learn how to code.

12. Female Founder Podcasts

Take a look at this list of the greatest podcasts for women who want to break away from the pack and start their companies/enterprises:

Y Combinator’s Startup School Radio: They cover everything you need to know about starting, raising, and expanding your own tech company.

Girlboss Radio: each episode is a conversation with a famous woman who has succeeded in the corporate world. Discover how they got there and what they learned on the way.

13. Video Playlists for Women Coders

Check out this list of good video playlists to help you with any coding needs, whether you want to watch video content rather than written text:

Code path: They deal with software engineering as an ever-changing field, so if you’re just getting started, it might not be easy to keep up.

Find mentors, acquire new skills, and discover projects that will help you improve your coding abilities easier and more enjoyable.

WomenWhoCode: This nonprofit playlist of films, for example, helps to push women to excel in their tech professions.

With over 50,000 members from 20 countries (and with 3,000+ worldwide events), this is the natural place to be if you want a little boost of confidence and a lot of information.

The Key To Getting Started 

The key to getting started on your programming journey is just to get started. The first step is always the hardest, but it becomes more accessible and enjoyable once you’re moving.

If you never start, then how will anything ever be achieved? Once you learn that there are no natural barriers other than those you place on yourself, everything opens up like a vast ocean of possibilities waiting for your exploration.

Women learn to code because coding represents independence in both thought and action, empowerment, self-sufficiency, creativity within constraints, problem-solving skills, and the ability to learn continuously.

Coding has become a fundamental skill like reading, writing, speaking, or listening, which should be taught in all schools around the world not as an elective course but rather as part of the core curriculum because that’s what coding is; It’s literacy for the 21st century.

Conclusion 

Women may find coding to be an exciting and empowering experience. It would help if you learned how to code, and it will open doors to many opportunities for you.

Taking an online course, such as community groups or finding a mentor to assist you on the road to basic coding abilities, is the best approach to get started.

Do not let anything keep you out of the tech sector so that you can realize your aspirations. Don’t let misconceptions and gender bias get in the way of your success.

Take charge, make a strategy, and stick to it. Women coders are needed more than ever before.

So, if you have the motivation and commitment to work in the tech industry, check out these resources for some inspiration. You may undoubtedly encourage other women to pursue it as well.

The post Why Women Should Learn How to Code and How To Get Started appeared first on Startup Oasis.

If you’re starting, the notion of taking the first step may leave you dazed and perplexed, especially if you have no prior expertise. Luckily, there are some things you can do to help make the process easier and more successful.

This guide talks about how to advance your data science career as a woman while maintaining balance both at home and at work.

Women In Data Science  

According to a survey published by Boston Consulting Group in 2020, just 15% of data scientists are women. The study notes that lack of diversity is a significant problem: “AI algorithms are vulnerable to prejudice, therefore building them necessitates the inclusion of a diverse array of viewpoints and experiences on the team.”

Nobody has more confidence than the individual with data. Even if you have impostor syndrome, well-analyzed data is your confidence builder.

Despite some traditional tech perceptions and challenges that block or deter women and other underrepresented groups from entering data science and analytics fields, L. Sam Bishop, CEO of edx Head of Analytics, urges women to join the field.

“The most wonderful thing about data is that data is power,” says Bishop. “Nobody has more control over the data than the individual who holds it. “Whether you have impostor syndrome or not, well-analyzed facts are your confidence builder,” she explains.

Is Data Science For women?

Women may discover a lucrative career in Data Science at any age, whether they’re starting, considering a professional change, or thinking about re-entering the workforce. Despite this, far too few women take that step. Here’s why, and especially if you don’t have any technical knowledge, you should reconsider your options.

Women may discover a lucrative career in Data Science at any age, whether they’re starting, considering a professional change, or thinking about re-entering the workforce.

The major problem is that most women wonder if they are ready to do data science, especially at square one of their data science learning path. And they haven’t forgotten that every professional was once a beginner.

Why Is Data Science A Fantastic Career Choice For Women?

The widespread promises of high pay and job growth are the first and most obvious reasons why Data Science is a fantastic career choice for women. Their national average salary in the United States, according to Glassdoor, is $114K, compared to an overall average of $31K.

For job growth, if the expansion in open positions since 2012 hasn’t convinced you of the expanding possibilities in this profession, consider what LinkedIn has to say about it in their 2020 Emerging Jobs Report, where Data Science is ranked third with a percentage increase of 37 percent, after Artificial Intelligence Professional (74 percent) and Robotics Engineer.

Positive Job Growth For Women In Data Science

To begin, you may look at the proportion of women in tech. According to a Burtch-Works poll conducted in 2020, women in tech are gradually increasing but slowly. Only 15% of them were female in 2018, and the ratio has risen to 17% this year and will continue to rise to 18% next year.

However, there are still relevant gaps in the number of women in data science careers. These statistics suggest an increasing presence of women in data science and the start of female-led leadership.

There is, however, a significant need for development in the computing sector for women and other minority groups, particularly in the mid to higher-level leadership roles historically held by men.

What Education Do You Need To Become A Data Scientist As A Woman?

A university degree in computer science, IT, technology engineering, and mathematics will help you succeed in the profession. However, having comparable expertise in data and business analytics is also sufficient.

Fortunately, even though you lack a university degree and experience, you can still succeed in the data science profession. There are several options for learning, including taking qualifying courses or enrolling in a comprehensive online training covering everything from statistics and Excel to SQL, Python, and Tableau.

By doing so, you’ll have a better chance of receiving an internship at a well-known company and beginning your career in data science from the ground up. Perhaps starting as an entry-level data analyst isn’t how you pictured achieving your dream job. However, this may well be the most effective route to get to your dream job.

4 Essential Skills For Women In Data Science

Women in STEM, which is also referred to as (science, technology, engineering, and mathematics) have long been a minority. Only about 28% of jobs in these fields are held by women, while females occupy even fewer C-suite levels positions.

Women in data science should consider this field with many potentials, not one that has shut its doors on the female population. The following are the four vital abilities that every woman looking to study data science or pursue a career change into the field should master:

Confidence

Whether it’s right or wrong, but women have been kept out of scientific fields for a very long time. Though the number of STEM role models for women is smaller, it certainly exists, and many schools are making deliberate efforts to encourage girls’ interest in STEM.

However, you need to join STEM programs at your school. If you’re searching for a new profession, learning about some of the many women who transformed science might help you overcome any negative preconceptions about your chosen field’s future.

Programming Skills

Data science requires a lot of time at a computer. Through on-the-job training is possible, having a baseline knowledge of a few current programming languages such as JavaScript and some database language understanding will enhance your chances of finding a job in a new field.

Before transitioning into data science, understanding the techniques and algorithms involved in data collection, such as random forests and ensemble methods, is also something to brush upon.

Math

If you’re switching from a similar sector like cyber security or database administration, your math abilities should be sufficient. If an expert is required to develop new algorithms, linear algebra and some calculus forms would be icing on the cake.

However, having a firm grasp of business analytics is also essential. If you’ve looked at Google Analytics, you’ll see whether the numbers made sense to you or not. If they didn’t, it’s strongly suggested that you gain some baseline information there before going any further.

Education

A strong background in a related field such as computers might help you get job offers in data science, and obtaining a university education is your best bet. Many data science professionals have master’s degrees, and some of them hold doctorates.

A bachelor’s degree in STEM fields like computer science, physical science, statistics, or mathematics is ideal for someone interested in pursuing a master’s in data science. In the same way, most machine learning solutions are comparable.

Whatever path you choose, there’s no longer any need to be afraid of the male-dominated STEM professions since the pay and job satisfaction are excellent, even if it is a bit steeper for women. Data Science provides security, enjoyment, and the potential for significant compensation.

How Much Does A Data Analyst Earn?

Glassdoor and PayScale were kind enough to provide some insights. If you’re starting your career path in data science, your payment will be around $57,000 (median annual salary of $68,000 and an average bonus of $4,705).

But if you are based in the United Kingdom, the median salary for data analysts with less than one year of experience is £23,870. If you’re a seasoned data analyst with 1-4 years of expertise, your yearly earnings will be £25,853. So it appears that becoming a data analyst may be worth it.

How To Become A Data Scientist In Eight Easy Steps

There are lots of ways to become a Data Scientist. Although it is typically a high-level field, data scientists have traditionally been well educated, with degrees in mathematics, statistics, and computer science, among other disciplines. This, however, has begun to change.

Every person wants to learn how to be a data science expert. Perhaps not everyone literally, but this is unquestionably the most desirable profession in data science today, as demand for this profession is continuously increasing.

Data scientists are autonomous and effective, so if you want to be one, you’re probably wondering what data scientist responsibilities are, how to acquire the necessary skills to apply for jobs, and whether the salary pay will meet your demands. However, the following are the eight easy steps on how to become a data scientist: 

Develop The Right Data Skills

If you don’t have data experience, you can still achieve mastery in data science; however, you’ll need to develop an appropriate background to pursue a data science career. A Data Scientist is a high-level and critical position that requires extensive knowledge in many areas.

It’s essential to have a firm base of knowledge before specializing in a specific discipline. Mathematicians, engineers, statisticians, data analysis, programming, and IT are just a few options. Some Data Scientists began their careers in finance and baseball scouting before transitioning into the field of statistics.

Whatever area you start with, make sure it covers the basics: Python, SQL, and Excel. These skills will be critical in dealing with and organizing unprocessed data. It’s not a bad idea to be somewhat experienced with Tableau, a program you’ll frequently use to create visualizations.

Keep your eyes open for ways to assist you in embracing the mindset of a Data Scientist; the more this background allows you to work with data, the easier it will be for you to advance.

Learn Data Science Fundamentals

A data science program or Bootcamp may be a better way to learn or improve data science fundamentals. You’ll learn the foundations of collecting and storing data, analyzing and modeling it, and visualizing and presenting it using every tool in the data science toolkit, including specialized applications like Tableau and PowerBI—among others.

You should be able to develop models that analyze behavior and predict unknowns in Python and R and repackage information into user-friendly formats by the conclusion of your program.

Advanced degrees are often required for Data Science positions. Sometimes, it’s non-negotiable, but as demand outstrips supply, the evidence is becoming increasingly visible.

That is, the evidence of the needed abilities generally outweighs mere credentialism. It’s becoming more apparent to hiring managers that mastery of a subject doesn’t have to be demonstrated in traditional.

Learn Key Languages For Data Science

Data scientists use various specialized tools and programs built especially for data cleaning, analysis, and modeling. In addition to basic Excel programs, data scientists should be conversant with a statistical programming language such as Python, R, or Hive and query languages like SQL.

RStudio Server is one of a data scientist’s most critical tools, providing a server-based development environment for using R. Another popular tool is Jupyter Notebook, which includes statistical modeling, data visualizations, machine learning capabilities, and more in open-source form.

Machine learning is increasingly used in data science, which uses artificial intelligence to teach systems to learn and improve without being explicitly programmed.

The technology and types of tools utilized in machine learning are determined to a significant extent by the application – for example, whether you’re training a computer to recognize pictures or identify trends from social media posts.

Depending on their goals, data scientists might select from various tools, including h2o.ai, TensorFlow, Apache Mahout, and Accord.Net.

Work On Data Science Projects To Develop Your Practical Data Skills

Once you’ve gotten the hang of the programming languages and digital tools data scientists use, you can start putting them to good use by practicing your new skills and extending them even further.

Take on tasks that combine several talents, such as using Excel and SQL to manage and query databases, Python and R to analyze data using statistical methods, build models that analyze behavior and provide new insights, and use statistical analysis to forecast unknowns.

As you get more comfortable with the process, try to touch on several phases, starting with company or market sector research and ending with data collection and cleaning and testing to maximize its usefulness.

Lastly, you have the option of creating your algorithms to interpret and model that information, which may be packaged into simple representations or dashboards for users to interact with and query. You might also practice giving a presentation about your research to boost your communication skills.

You’ll also want to practice working with various data types, including text, structured data, photos, audio, and even video. Every sector uses its own distinct set of data to assist decision-making by more informed executives.

You should know principles of as many types as possible because you’ll likely be focused on just one or two as a working data scientist. However, if you’re starting and building your skill set, it’s essential to understand the fundamentals of as many sorts as possible.

Handling more complicated projects will provide you the opportunity to experiment with a variety of data applications. You’ll be in the best position to use more complex statistical techniques like data mining, predictive modeling, and machine learning (ML) to predict future events or even produce recommendations once you’ve mastered descriptive analytics.

Develop Visualizations And Practice Presenting Them

Use programs like Tableau, PowerBI, Bokeh, Plotly, or Infogram to practice creating your visualizations from the ground up. Find the best technique for allowing the data to speak for itself by practicing with platforms like these.

Even at this stage, Excel is useful: while the fundamental idea behind spreadsheets – merging data in their cells to make calculations or graphs – is simple, Excel has proven to be very valuable after more than 30 years and is almost unavoidable in the world of data science.

Creating beautiful graphics is only the beginning; as a data scientist, you’ll need to use these visuals to communicate your findings to an actual audience.

When it comes to expressing oneself, everyone has their limits. The ability to express oneself without being overly direct is an essential communication skill that may come naturally for you but can be improved with practice. Begin with a single friend or even your pet before progressing to a group situation if necessary.

Creating beautiful graphics is only the beginning; as a data scientist, you’ll also need to use these visuals to communicate your findings to an actual audience.

Build A Portfolio To Showcase Your Data Science Skills

Your next step is to create a polished portfolio that will get you the job of your dreams after you’ve completed your preliminary research, received training, and practiced your new abilities by building out an excellent portfolio full of projects.

Your portfolio may be the most crucial aspect of your job search. The Data Science Bootcamp at BrainStation, for example, is designed to provide a project-based curriculum that helps students construct an impressive portfolio of real-world accomplishments. It’s one of the most effective methods to get noticed in the job market.

Consider including your GitHub projects when applying for a data scientist job to (or instead of) your website. While simultaneously enhancing your profile in a public network, GitHub quickly displays your process, work, and results.

But don’t stop there. Your portfolio is your opportunity to demonstrate your communication abilities and show that you can do more than crunch the numbers.

It’s also beneficial to exhibit a variety of methods because data science is a broad field, implying that there are many ways to address an issue and many strategies you may bring to the table.

You should complement your data with a compelling narrative and show how you’re attempting to fix the problems you’ve identified so the employer understands your value. Rather than presenting your code in isolation, GitHub allows you to contextualize it within a larger context, making it easier to understand.

When you’re applying for a particular position, don’t submit your entire body of work. Just a few pieces out of your whole body of work should be highlighted to show off your range of abilities throughout the data science process – starting with a simple data set, identifying a problem, cleaning up the mess, developing a model, and finding an answer.

Raise Your Online Profile

A well-executed project that you accomplish on your own may be a fantastic method to showcase your skills and impress potential hiring managers. Choose something you’re genuinely interested in, ask a question about it, and try to answer it with facts.

You may also showcase your work on GitHub. Document your experience and reveal your findings, graphically represented with a straightforward explanation of your procedure, highlighting your technical skills and ideas.

To assist an employer in understanding your value, include a compelling narrative that details the issues you’ve addressed—highlighting your process and creative steps you’ve taken to ensure the employer understands you.

Another excellent approach to demonstrate your interest in the community, display your skills as a potential data scientist, and expand your knowledge and outreach is becoming a member of an online data science network like Kaggle.

Apply To Relevant Data Scientist Jobs

There are several responsibilities in the data science field. People who have acquired the fundamental abilities specialize in particular sub-disciplines, such as data engineers, data analysts, artificial intelligence, or machine learning engineers.

Look into what a company values, what they’re focusing on, and whether it matches your skills, goals, and plans. Also, remember that cities like Boston, Chicago, and New York are experiencing a technical talent shortage; thus, opportunities abound.

Best Data Science Jobs

Because data scientists work in so many fields and disciplines, the tasks they can perform are referred to under a variety of names, which includes:

• Data scientist
• Data analyst
• Data architect
• Data engineer
• Statistician
• Business Analyst
• Researcher
• Machine learning engineer
• Quantitative analyst

There are several other positions out there, and they will continue to grow as data science becomes more popular. The good news is that the positions mentioned above are significantly in high demand. You’re at a distinct advantage for professional growth and career advancement if you have data science expertise and experience.

The Field Of Data Science Needs You

Of course, data science is a fantastic career for women isn’t the only reason it might be attractive to you. The field of data science and the basis of decision-making in both businesses and AI (artificial intelligence) has room for improvement in female presence, mainly because it’s so important.

Thus, the more different perspectives in a team, the better. Learn with curiosity and optimism, and don’t be afraid to make mistakes along the way. Work hard, always try your best, and things will come naturally.

The post Women in Data Science: A Guide To Successfully Advancing Your Career appeared first on Startup Oasis.