IBM Data Science Professional Certificate Course: New Opportunities to the Students in 2021

In this digital age, organizations are increasingly relying on data collected from multiple sources to understand key customer behavior. In order to collect and study these databases and understand the data and information collected by companies, a data scientist is needed.

As a result, most IT companies are ready to hire data scientists. The IBM Data Science Professional Certificate is the best course for a career in this lucrative field.

Before you dive into a professional certificate, the first thing you need to know is what is data science? Data science is the art of gaining insight into data and predicting future trends.

What is the IBM Data Science Professional Certificate?

The IBM Data Science Professional Certificate is a data science course to help you start a career in data science and money laundering. This online course gives you the opportunity to learn SQL and Python, create machine learning models, analyze and visualize data, and much more.

This IBM Data Science Professional Certificate covers ten courses including Data Science Methodology, Open Source Tools, Python, Data Analytics, Databases, SQL, Machine Learning, Data Visualization, and last but not least in Data Science.

Coursera is a platform where you can use these courses online. You have the right to set a flexible schedule for your training. In general, courses last about three, but you can spend more time.

IBM Data Science Professional certificate by Coursera

The IBM Data Science Coursera Professional Certificate teaches you what data science really is, methodologies for working in the field, and many other activities as a data scientist.

Duration of this course:
With Coursera. takes approximately 3 months to complete the IBM Data Science Professional Certificate. However, you can spend more or less time depending on your needs.

At Edx, students must invest 1 year and 1 month (3 to 5 hours per week) for the entire course.

Fees for this course:
This IBM Data Science Professional course supports a subscription payment model. Coursera requires you to pay a monthly fee of $39 to access all course modules, discussion forums, assignments, and partner assignments.

Advantages of this course:

This course gives you the opportunity to develop skills in providing database insight using languages, tools and libraries as a professional data scientist. The IBM Data Science Coursera Professional Certificate teaches you to import and clean data sets, analyze and visualize them, and then use Python to build and evaluate machine learning models.

The IBM Data Science Coursera Professional Certificate teaches you to apply various data science skills, tools, and techniques to complete any data science project and then publish the report.

IBM Data Science Professional Certificate from edx:

Duration of this course:
You will need to invest 1 year and 1 month (3 to 5 hours per week) to complete this professional course.

Fees for this course:
The IBM Data Science Professional Certificate, which includes 9 skills development courses, costs Rs 57,597 for the entire program experience.

Advantages of this course:
The IBM Data Science edx professional certificate gives you the opportunity to develop your career in data science.

Like Coursera, the IBM EDX Professional Data Science Certificate also teaches you how to apply various data science and machine learning skills, tools, and techniques as you complete projects and publish reports.

Github is another platform you can use to register for IBM Data Science Professional certification courses. The IBM Data Science GitHub Professional Certificate provides you with study materials, assignments, and tested solutions for the full IBM Data Science Professional course.

Courses available in this IBM Data Science Certificate course
This IBM Data Science Professional Certificate course consists of 10 courses. This is:

1) What is data science?
In the first course of this certificate, you will learn the basics of data science. Here in this course you will learn to gain insight into databases and predict future market trends. In this course you will have the opportunity to meet some of the practitioners in the field and get an overview of the role of data science in today’s marketplace.

2) data science tools
In this course, you will learn about various data science tools, how to use them, and what functionality you get with these tools. In this course you will get to know tools like Notebook, Jupyter, RStudio IDE, experience in Data Science and Apache Zeppelin. Also, here is how to use these tools and what they are used for.

Also, check out our in-depth guide to 21 amazing big data tools that will take your business to the next level in 2021.

3) Data Science Methodology
In this IBM Professional Data Science Certificate course, you will learn methodologies for using large databases to solve problems and manipulating them to fix problems.

In general, this course will teach you useful steps in dealing with data science problems.

4) Python for data science, AI and development
In this course you will learn Python, programming languages, data science, and programming. Here in this course you will learn about the Python programming language, its basics, including data analysis and data structures.

This course will have you doing some exercises with experience in this programming language and finally creating a final project to demonstrate your new skills.

5) Python project for data science
It is a mini-course that will make you demonstrate your fundamental skills in Python for working with data.

6) Databases and SQL for Data science with Python
SQL or Structured Query language is a language that will help you communicate and extract the data from databases. For being a data scientist, you will need to have skills in uncovering databases and knowledge of SQL.

7) Data Analysis with Python
With this course, you will learn to use Python in analyzing data. The course will help you develop skills in using python for analyzing data, performing simple statistical analysis, creating some meaningful data visualization, predicting future trends from data, and many more.

8) Data Visualization with Python
A Data scientist needs to have skills in visualize any data and extract the information. This course will make you learn the use of a tool in visualizing data and extracting information from it.

Also read about our detailed guide on Big data visualization: The ultimate interpreting Heritage

9) Machine learning with Python
With this course, you will get into the basics of machine learning using the Python programming language. With this tool, you will learn the fundamentals of machine learning and its overview. In the last, you will get the option to practice with real-life examples of machine learning and see how it affects society.

10) Applied Data science capstone
The last but the most important course, applied data science capstone will finally make you realize what a data scientist needs to do while working with data.

Skills you will gain in the IBM data science Professional certificate?

There are several advantages/ benefits of the IBM data science professional certificate.

  • The IBM data science course certificate will help you build skills in data science and get hired by some IT companies.
  • After completion of this course, you will be awarded a certificate that you can share with your professional network and kickstart your new career.
  • With this certificate, you can learn and then apply your data science skills in building a portfolio of your projects and get hired by potential employers.

How much IBM data science professional certificate cost?

This IBM data science professional course supports a subscription-based payment model. In Coursera, you will need to pay 39$ monthly fee to get access to all the course modules, discussion forums, assignments, and peer-graded assignments.

With Edx, the IBM data science professional certificate complete course including 9 skill-building courses costs Rs 57,597 for the full program experience.

Is there any financial aid for the IBM data science professional certificate?

There are also some IBM data science professional certificate financial aid to support your study. Here are the steps to apply for IBM data science professional certificate financial aid.

  1. You can apply for financial aid by simply clicking on the Financial aid available on the Coursera platform.
  2. After this, you will be asked three general questions.
  3. Answer these questions to the best of your writing skills.
  4. The complete process for financial aid hardly takes 15 days.
  5. Now you can get this course for free.

Salary after completing IBM data science professional certificate?

The IBM claims that their data scientists get up to an annual salary of $80,265. IT companies nowadays are eager to hire data scientists in order to capture the data and derive insights from it. This makes the companies not shy away from offering a really good salary to data scientists. IT companies are hiring employees having great skills related to data science with huge salaries in the position of Data scientists, data analysts, engineers, etc.

The average salary for data scientists having an IBM data science professional certificate is Rs. 698,412 per month. In the beginning, just after completing this course, you can earn around 5 lakh per annum.

Data scientists with 1 to 4 years of experience can earn up to Rs 610,811 per annum. With the increase in your experience, the salary of a data scientist can go up to Rs1,700,000 per annum in India.

What are the benefits of the IBM data science professional certificate?

There are several advantages/ benefits of the IBM data science professional certificate.

  • With this professional course, you will get the option to build your skills in data science and get hired by potential IT employers.
  • The IBM data science professional certificate will help you kickstart your career in the field of IT and earn a solid salary.
  • This course will help you get a repudiated job in the IT sector.

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