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A Comprehensive Guide On How To Learn Data Science

Last updated on Oct 25,2023 3K Views

Zulaikha Lateef
Zulaikha is a tech enthusiast working as a Research Analyst at Edureka. Zulaikha is a tech enthusiast working as a Research Analyst at Edureka.

How To Learn Data Science:

A couple of months ago I was browsing through the internet, looking for Courses on Data Science. I wanted to learn Data Science and I realized that there is an abundance of content on the internet but I had no idea about how to learn Data Science, where to start, what tools I must master, etc. I had a million questions in my head and so I decided to write about it.

My curiosity for Data Science begun when I stumbled upon an article that narrated a story about how Data Scientists at Target studied the shopping patterns of their female customers to predict if they were pregnant. This fascinated me because I had no idea that Data Science was capable of predicting such a thing. I was baffled and I knew I had to learn more. Thus begun my journey.

Data Scientist Skills - How To Learn Data Science - EdurekaData Scientist Skills – How To Learn Data Science – Edureka

Before I move any further and bore you with the theory, here’s a list of fun facts about Data Science:

  • In 2015 around 65% of Data Scientists were happy with their job, this number rose to 88% by the end of 2018.
  • The Harvard Business Review termed Data Science as the hottest job of the 21st century. One can hear nothing but praises about how Data Science draws useful insights to grow businesses.
  • It is estimated that the number of Data Science jobs will grow to 364,000 by 2020.
  • There will be a shortage of 190,000 skilled Data Scientist by the end of 2018.
  • Businesses practicing Data Science will see $430 billion in productivity benefits when compared to the ones that don’t implement Data Analysis.

Enough with the fun facts, let’s discuss the skills required to become a Data Scientist. When I sat down to research about the skill set of a Data Scientist, I went through a couple of Job Descriptions on platforms like Glassdoor and Indeed to check what exactly top tier companies look for in a Data Scientist.

Let’s take a look at the Job Description of a Data Scientist at Dell:

Job Description - How To Learn Data Science - Edureka

Job Description – How To Learn Data Science – Edureka

The above Job Description gives an in-depth understanding of what exactly companies expect from a Data Scientist. To make it easier for you, I’ve listed down the key takeaways from the Job Description in the below section.

Data Scientist – Skills Required 

To me, A Data Scientist is a lot like Sherlock Holmes. Just like how Sherlock Holmes solves murder mysteries, a Data Scientist solves Data mysteries, such as, detecting useful insights, extracting significant data, etc in order to grow a business.

Here’s a definition of Data Science:

Data Science is the process of extracting useful insights from data by using a variety of tools, algorithms and Machine Learning fundamentals.

Data Science - How To Learn Data Science - Edureka

Data Science – How To Learn Data Science – Edureka

If you wish to learn more about Data Science, you can go through the following blog posts:

  1. What Is Data Science? A Beginner’s Guide To Data Science
  2. Data Science Tutorial – Learn Data Science from Scratch!
  3. A Comprehensive Guide To R For Data Science
  4. Python Libraries in Data Science

Let’s move ahead and discuss the skill set of a Data Scientist. Here’s a list of skills that most industries look for in a Data Scientist:

  • Statistics
  • At least one programming language – R/ Python
  • Data Extraction, Transformation, and Loading
  • Data Wrangling and Data Exploration
  • Machine Learning Algorithms
  • Advanced Machine Learning (Deep Learning)
  • Big Data Processing Frameworks
  • Data Visualization

If you wish to read more about a Data Scientist’s skills, refer to the Data Scientist Skills – What Does It Take To Become A Data Scientist?  blog.

Edureka also have a couple of blogs on various Machine Learning Algorithms, make sure you give them a read:

  1. Linear Regression
  2. Logistic Regression
  3. Random Forest
  4. Decision Tree
  5. Support Vector Machine
  6. K Nearest Neighbor
  7. Naive Bayes

Now, let’s focus on our topic of discussion, how to learn Data Science?

How To Become A Data Scientist?

When I started my research on Data Science, I found that most of the free content I read was focused only on the theoretical aspects of Data Science. To properly understand Data Science, one must have a practical understanding of how Data Science uses Machine Learning algorithms to draw insights from data.

Therefore, you must always pick a well structured Data Science Course that provides an in-depth understanding of the concepts, along with projects, data sets and assignments based on real-world problems.

The Data Science Online Training designed at Edureka follows a practical approach throughout the duration of the course by providing a set of assignments and projects at the end of each module to test your skills.

Let’s understand how the Data Science Masters Course at Edureka can set you on the path of becoming a successful Data Scientist.

Data Scientist Masters Program At Edureka

The Data Science Masters Program at Edureka is designed in such a way that it covers all the tools and skills demanded by the top IT companies in the world. Edureka is the market leader in online Data Science Training. Edureka has trained well over 30,000 students all around the globe in the field of Data Science.

Most of the Data Science courses I found online were not meant for absolute beginners. Each course demanded expertise in some area or the other. This makes it hard for beginners because they don’t know where to start. At Edureka, we’ve designed a Data Science Masters Course that covers all the prerequisites, tools, concepts, algorithms, languages, etc, required to become a Data Scientist.

How To Learn Data Science - Edureka

How To Learn Data Science – Edureka

To ensure the best quality education, Edureka provides live instructor-led sessions from industry-level experts who have over 10 years of experience working in the industry. Irrespective of whether you’re an experienced professional working in the IT industry, or an aspirant planning to enter the world of Data Science, Masters Program is designed and developed to accommodate various professional backgrounds.

To get a better understanding of the program offered by us, take a look at the Course Curriculum:

Data Scientist Masters Course Curriculum – Edureka

At Edureka, the Data Science Masters course is designed after extensive research on 5000+ Job Descriptions across the globe. The stack includes 12 modules which will take approximately 30 weeks to complete. For every module, there will be a project and at the end.

Once you’ve completed all the modules, assignments and projects, you’ll be given a Capstone Project. The capstone project will provide you with a business case. You will need to solve this by applying all the skills you’ve learned throughout the duration of the master’s program. This project will be an excellent add on to your resume!

Let’s focus on what the course has to offer!

The Data Science Masters Program will include 5 live courses and 7 self-paced courses to cover the prerequisites. The self-paced courses include the following:

  1. Python Statistics
  2. R Statistics
  3. SQL Essentials Training & Certificate
  4. R Programming Certification Training
  5. Python Programming Certification Training
  6. Scala Essentials
  7. MongoDB Training & Certification

Data Scientist Masters Course Free Electives

Data Scientist Masters Course Free Electives

  • The live courses include two separate courses, one with R and the other with Python. These courses will cover skills such as Data Extraction, Wrangling, Exploration, Machine Learning, etc.
  • The next live course will cover concepts of Big Data Analytics by using Apache Spark & Scala, which are used to process Big Data in near real time.
  • Post this, you will be introduced to AI & Deep Learning with Tensorflow. This module will help you understand the concepts of Deep Neural Networks. Here, you will build hands-on projects for creating Deep Learning models using Tensorflow.
  • The last module will help you acquire skills like Data Visualization, Dash-boarding and Data Discovery using Tableau.

At the end of the course, you’ll be awarded a certificate of completion which you can upload on your LinkedIn profile with a click of a button.

Data Scientist Masters Certificate - How To Learn Data Science - Edureka

Data Scientist Masters Certificate – How To Learn Data Science – Edureka

Becoming a Data Scientist isn’t easy, it requires continuous effort and dedication. Our instructors at Edureka are ridiculously committed to making` you understand and learn. This course provides 250+ hours of interactive learning and 12 courses which will set you on the path of becoming a successful Data Scientist. Furthermore, we provide instructor-led live sessions, class recordings, lifetime access to the entire course, a 24/7 support team available that will help you out with any technical issues, you’ll be exposed to industry level projects and you get a verified certificate from Edureka.

Ready to supercharge your career in data science? Don’t miss out on the opportunity to earn your Data Science with Python Certification. With this certification, you’ll gain the skills and knowledge needed to excel in the world of data analysis, machine learning, and predictive modeling. Take the first step toward a brighter future in data science – enroll now, study diligently, and earn your certification to open doors to exciting career opportunities. Get started today and unlock your potential in the data-driven world!

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A Comprehensive Guide On How To Learn Data Science