group of people sitting beside rectangular wooden table with laptops
group of people sitting beside rectangular wooden table with laptops

The Beginners Data Science & Analytics First Month!

100% hands-on industry training that will be held online at your own pace.

'' learn how to solve problems and gain data analyst experience''

Here’s a short list of what data scientists and analysts do in real life:

>>Data cleaning and preparation: Research shows that data cleaning and preparation will comprise about 80% of the work of most data professionals. That means this skill is vital.

>>Data analysis and exploration: Fundamentally, data science and analysis involve taking a business question or a need and analysing relevant data to identify patterns and trends and develop an answer to that question.

>>Statistical knowledge: Probability and statistics are important data scientist/analyst skills. This knowledge will guide your analysis and exploration and help you decipher the data.

>>Creating data visualizations: Data visualizations clarify data trends and patterns. Humans are visual creatures — that means most people will understand a chart or a graph more quickly than they will understand a spreadsheet.

>>Creating dashboards and reports: As a data scientist/analyst, you’ll need to empower others to use data to make key decisions. By building dashboards and reports, you’ll give others access to important data by removing technical barriers.

>> Writing and communication : The ability to communicate in multiple formats is another key data scientist/analyst skill. Writing, speaking, explaining, and listening are all communication skills that will help you succeed in any data science and analytic role.

>>Problem-solving: As a data scientist/analyst, you are going to run up against problems, bugs, and roadblocks every day. Being able to problem-solve your way out of them is another key skill that will be valuable as a data scientist/analyst.

>>Domain knowledge: Domain knowledge is understanding topics that are specific to the industry and company that you work for. For example, if you’re working for a company with an online store, you might need to understand the nuances of e-commerce.

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>>The exact definition of a “data science/analyst” job role varies depending on whom you ask, so it’s possible not all of these skills will be necessary for every data science/analyst job. Similarly, there may be skills some companies will require that aren’t on this list. Our focus here was to find the set of skills that most data analyst roles require in order to build the very best data science/analyst learning paths for beginners.

The Things That Data Scientists/Analysts Do!

As most of our work revolves around data, and as the field of Data Science/Analytics is becoming much bigger, and much more accessible to beginners, I’d like to share some thoughts, knowledge, and skills on how you might get into this field to augment your skills and career goals. Data science/analytics is a very hands-on skill that you would have to have the know-how to achieve your aim.

MY STORY

I will share with you my transition journey from being a business administrator to a data professional.

My transition into data world was not a smooth one, because I did not come across a platform like www.data450.com in my country to teach me the ropes of the data profession. I learnt data analytics the hard way.

Right now, LinkedIn shows 164,000+ open data science and analytics positions.

Those positions aren’t going to get filled very quickly – there are not enough qualified candidates to fill them.

If you’re sitting there thinking, “Wait a minute, I could become a qualified candidate,” you are 100% correct.

All that stands between you and a job in this highly lucrative, growing field is a good bootcamp.

But what makes a data science and analytics bootcamp “good”?

Our latest blog post meditates on this question, presenting 11 of the highest-ranked data science and analytics bootcamps based on factors like:

Curriculum coverage. Will it make you industry-ready? Does the program focus too exclusively on technical skills and not enough on structured thinking? Cost. Duh.

Cost is always a concern, and you’ll want to know your options (think: payment plans, scholarships, etc.).

Job support. Does the program have career services? A job guarantee? Will you be cut loose the second you finish the bootcamp? This one’s a biggie.

You’ll also find a general overview of what you should expect to learn in a data science and analytics course, so you can drill down into each program’s offerings with your own agenda in mind.