GETTING STARTED WITH DATA SCIENCE

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    As we know from our previous blog, there are so many interesting and good paying job opportunities in the field of data science. But how do we start? Where’s the roadmap? The truth is you can choose any or every resource based on what you prefer. Whether it be a book, an article or even a youtube video.

 

Yes but why does one want to get started in data science? Well let me tell you one interesting fact about the data. Over 90% of all the data in the world was created in the past 2 years. And the thing that excites me the most about data is - The world has created so much of the digital data that, If you burned all of the data created in just one day onto DVDs, you could stack them on top of each other and reach the moon – twice.

So I guess this was enough to get your attention to read my entire blog😁. So let’s start with the introduction and some questions: Where is this massive data coming from? How are we managing such a big amount of data? Is there any study to deal with such heavy volumes of data? Did humans have progressed enough to get through this data apocalypse? AND THE ANSWER WOULD BE YES DATA SCIENCE IS DOING ALL OF THE ABOVE but How?

Data science is the study of dealing with the data using modern tools and techniques like algorithms, pattern detection, preparing data for analysis, cleansing the data, extracting the useful insights from raw data and many more. These techniques are used by the data scientist to uncover the unseen patterns which would benefit the company for their business insights and which is ultimately leading to the company’s growth. So the hype that Data Science is considered as the hottest job in the 21st century is justified, as it is clearly helping companies make more money. LET’S SEE HOW?



CAREER OPPORTUNITIES IN DATA SCIENCE:



All certifications and courses are available online. And they really provide you the value you are looking for. Professional certifications from top companies and institutes will always help you excel your resume and career but doing the certifications because you are interested in the data world still tops the list. (ALWAYS THINK BEFORE YOU START)


FEW COURSES TO GET STARTED:

  1. I guess this would be a golden opportunity for every data enthusiast i.e 4 Free Certificate Courses in Data Science and Machine Learning by Analytics Vidhya!
  2. IBM Data Science Professional Certificate
  3. Simplilearn Introduction to Data Science
  4. UDACITY - Introduction to Data Science Intermediate level.
  5. This Forbes article has mentioned the 9 best free online data science courses to kickstart your journey in the data world.
Following recommendations are our preferences of resources, of course there are so many options available and we might not be able to cover all of them

HIGHLY RECOMMENDED:
  1. Google Data Analytics Professional Certificate
  2. Google’s Machine Learning crash course


DATACAMP:





Such a great website for you to go from beginner to advanced level all on browser without downloading heavy software or tools. They offer interactive assessments, projects, hands-on practice of everything that is related to data science. They offer certifications on their skills and career track courses all at your own pace! You can practice any time, anywhere. 


YOUTUBE:


Codebasics

Dhaval Patel of codebasics is your favourite teacher/mentor who keeps you interested in your subjects and inspires you to do good. You’ll find great projects, explanations and so much knowledge from this channel on data science, data analytics, artificial intelligence, machine learning, data structures, software architecture, etc.




Luke Barousse


You’ll find so many great tutorials on important tools and a glimpse into the life of a person in this industry. The famous and funny skits like Data Analyst v/s Data Scientist will keep you entertained and also teach you so much at the same time.




Sundas Khalid


Truly an inspiration for being self taught from a non-tech background to working in big tech companies while also helping with sharing tips and tricks for real world experience in the data science industry. Her videos and experiences are presented in unique and creative ways for easy understanding of any concept or applications.



From simple to complicated concepts, you can simply search “What is <any data science term>?” on Youtube or Google, you will get these famous channels which will clear your doubts in a few short minutes.



BOOKS:


O'Reilly Series 

Just a sweet and simple explanation of topics you need to know for the industry.

  • Data Science from Scratch: First Principles with Python
  • Python Data Science Handbook: Essential Tools for Working with Data
  • R for Data Science
  • Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Naked Statistics


From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardised tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biassed or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.


Storytelling with Data


Storytelling with Data teaches you the fundamentals of data visualisation and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation.


The Data Science Handbook


The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set.



And finally Data Science Meets Cyber Security always for your rescue with any help or doubts!



Stay tuned for more useful resources in the data science world!


- Team Data Science meets Cyber Security 💙❤️

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