tarun saini


Applied Data Science with Python Certification Training Course -IgmGuru

What Is Python?

A general-purpose programming high level interpreted language with syntax and dynamic semantics.

It is a beautiful language that is easy to read; developed by Guidi Van Rossum.

Due to the lightning growth of Machine Learning and AI. Python has gained the spotlight as it increased productivity and enhanced quality.

Why Python Is The Best Language

  • Simplicity- This is by far the simplest and easiest computer language invented. Be it veterans or newbie’s; Python aids everyone in coding.
  • Open Source language- It is accessible for free and you can make, break, and change codes effortlessly.
  • Portability-Supports all existing servers; that means you can create share and modify code. Enables easy movements of projects and systems.
  • Embedding properties- Python supports extensibility; you could add other languages to its code and run.
  • Interpretation- The code is interpreted line by line. So CPU memory management and debugging of code ease.
  • Library Support- The enormous library online; helps upgrade your skills.
  • Object Orientation- Python supports OOPS; you can screen show the real-time affairs on your computers.

Why Python Certification?

Data Science with Python training adds up to your resume and helps you grow smoothly in the industry.

Skill Sets

  • Expertise in core python- A python web developer should be able to structure data.
  1. Be well versed in OOPS concepts.
  2. Able to handle variables and data types, maintain iterators and generators.
  • Grasp Web Frameworks-
  1. Should have good command on Front End technologies like HTML, CSS, and JavaScript.
  2. Sufficient knowledge of Django and Flask.
  3. Be familiar with Tinker for GUI based web apps.
  4. Well-oriented in MVC- MVT architecture
  • Data Science Roadmap- With a torrent of models available in the industry; you can develop your skills as a Data Scientist.
  1. You need to be excellent in your high school mathematics
  2. Ample knowledge to deal with programming problems
  3. Do data visualization, manage data wrangling, and analyze data.
  4. Have good command over SQL, Pandas, and Matplotib.
  • Machine Learning and AI- These are the sub-modules of data science
  1. Able to write optimized ML algorithm
  2. Well oriented in Sicket learning cycle
  3. Manage Tensor flow- The Back end API of Google
  4. Good Probability and statistical skills.
  5. Aware of Neural Networks.
  • Deep Learning- Versatility in Neural Networking; to learn how a machine can process audio, videos, and text language.

Job Role As Python Programmer In The Industry

  • Python Web Developer
    Is a person whose job is to use the python programming language to develop, implement, and debug a project.

  • Software Engineer/Developer/Test Engineer- at the basics; a software developer handles creating the flow charts that enable coders to do their job.
    They are the creative minds behind computer programs.

  1. Should have a good grasp over the core python
  2. Well acquainted with ORM
  3. Aware of Web Frameworks
  4. Comprehend REST APIs
  5. Familiar with python Applications and Front End Technologies
  6. Good database knowledge
  • Only Python Developer
    With the basic python skill set, the python developer should manage Server-side development too.

  • Data Scientist
    Programming skills are a must when applying to be a data scientist. Having a strong knowledge base in statistics is vitally important.

Programming Language that incorporates statistics such as Python, SQL plays a vital role in cracking the interview.

They are also involved in data acquisition, preparation, evaluation, and hypothesis and modeling.

The data scientist also needs to source voluminous sets of data located in disparate places to find actionable insights and information.

They are also responsible for the deployment and operational and optimization of data.

  • Data Analyst
    A data analyst has deep database knowledge and is responsible for data acquisition, data wrangling, manipulation, and interpretation.

He or she should be able to build prediction models and solve problems.

A data analyst should be well versed with Seaborn, Pandas, Numpy.

Where Is Python Used In The Industry?

  1. Google-Provide better results based on the ranking of the websites.
  2. Dropbox- The server and the client applications are coded using python.
  3. Netflix- Uses MI to cluster users based on their interest in shows and engage them.
  4. National Security agency- Does Cyber-Security analysis using python
  5. Bit-Torrent- Enables file transfer between peers
  6. NASA- Aids in scientific calculations.

Career Opportunity As a Python Developer

Data science with python certification comes with the following opportunities

  1. As a web developer uses Django and Flask applications of python

  2. Game development

  3. Big data analysis

  4. Web Testing

  5. Data Science

  6. Smart Device programmer


The success of your business depends on your ability to extract knowledge and leads from data sources.
Python is the internationally acclaimed programming language to help in handling data effortlessly.
It is packed with graphical options and visualization tools; python is the most preferred language for data scientists and data analysts.
Top 10 trending technologies in 2021.

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What is GEEK

Buddha Community

Applied Data Science with Python Certification Training Course -IgmGuru

Ankita Garg


Amazing write-up!

Ananya Gupta

Ananya Gupta


What Are The Advantages and Disadvantages of Data Science?

Data Science becomes an important part of today industry. It use for transforming business data into assets that help organizations improve revenue, seize business opportunities, improve customer experience, reduce costs, and more. Data science became the trending course to learn in the industries these days.

Its popularity has grown over the years, and companies have started implementing data science techniques to grow their business and increase customer satisfaction. In online Data science course you learn how Data Science deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions.

Advantages of Data Science:- In today’s world, data is being generated at an alarming rate in all time lots of data is generated; from the users of social networking site, or from the calls that one makes, or the data which is being generated from different business. Because of that reason the huge amount of data the value of the field of Data Science has many advantages.

Some Of The Advantages Are Mentioned Below:-

Multiple Job Options :- Because of its high demand it provides large number of career opportunities in its various fields like Data Scientist, Data Analyst, Research Analyst, Business Analyst, Analytics Manager, Big Data Engineer, etc.

Business benefits: - By Data Science Online Course you learn how data science helps organizations knowing how and when their products sell well and that’s why the products are delivered always to the right place and right time. Faster and better decisions are taken by the organization to improve efficiency and earn higher profits.

Highly Paid jobs and career opportunities: - As Data Scientist continues working in that profile and the salaries of different position are grand. According to a Dice Salary Survey, the annual average salary of a Data Scientist $106,000 per year as we consider data.

Hiring Benefits:- If you have skills then don’t worry this comparatively easier to sort data and look for best of candidates for an organization. Big Data and data mining have made processing and selection of CVs, aptitude tests and games easier for the recruitment group.

Also Read: How Data Science Programs Become The Reason Of Your Success

Disadvantages of Data Science: - If there are pros then cons also so here we discuss both pros and cons which make you easy to choose Data Science Course without any doubts. Let’s check some of the disadvantages of Data Science:-

Data Privacy: - As we know Data is used to increase the productivity and the revenue of industry by making game-changing business decisions. But the information or the insights obtained from the data may be misused against any organization.

Cost:- The tools used for data science and analytics can cost tons to a corporation as a number of the tools are complex and need the people to undergo a knowledge Science training to use them. Also, it’s very difficult to pick the right tools consistent with the circumstances because their selection is predicated on the proper knowledge of the tools also as their accuracy in analyzing the info and extracting information.

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Data Science With Python Training | Python Data Science Course | Intellipaat

In this Data Science With Python Training video, you will learn everything about data science and python from basic to advance level. This python data science course video will help you learn various python concepts, AI, and lots of projects, hands-on demo, and lastly top trending data science and python interview questions. This is a must-watch video for everyone who wishes o learn data science and python to make a career in it.

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Is a data science certificate worth it?

Data science arrived on the scene of the technological sector and the IT industry with an unforeseen and unprecedented rush and quickly made a big space for itself. In a few short decades it has taken over the computer science and technological industry completely.

This meteoric rise in popularity has led many people to start asking the question – “Is a data science certificate worth it?” The short and simple answer to this question is that yes, a data science certification is definitely worth it.

In this article we will go into detail about the reasons why this is so. We will also attempt to give some relevant information about the data science certification, namely the PGP in data science course.

Why to choose data science certification training?

1. One will be able to build a basic foundation of knowledge -

A very important point which a learner of data science should realize in the beginning itself is that data science is a very vast field. It is formed out of the intersection of many different fields such as mathematics, statistics, computer science, information science, IT etc. So it contains a large number of concepts and topics which are difficult to impossible to master in the beginning.

The disadvantage of trying to learn data science from a 4 year university or college program is that the learner will be taught a lot of cruft; that is, he will be taught a lot of concepts and topics which he will never actually need to use in the real world. But a data science certification course will teach him the bare minimum essentials of data science which will be relevant for his career in data science.

2. One will be able to associate with instructors possessing personal experience -

Very often it turns out to be the case that the instructors teaching the learners are academicians and PhD scientists. Over their years of study and research in the field of data science they have amassed a lot of academic knowledge about it, which they are more than willing to impart to the learners.

But they lack the practical experience which only comes from working in the industry and it shows in the lack of real-world examples and case studies in their presentations. But in a data science training course, the learners are taught by professionals with decades of experience from working in the field.

3. One will be able to make use of the latest technology stacks -

In any decent PGP in data science course the course content or the course curriculum is updated frequently to keep pace with the changes in the field of data science – namely with the most recent developments and advances. Since the instructors have been professionals in the past, they are familiar with the latest technological trends in the field and update the content accordingly.

The situation is very different in university or college programs where the wizened old professors teach the same course content for years on end.

4. One will get personal care and attention from the instuctors -

In a university or college program there are typically thousands of students enrolled in the same course. So it is near to impossible for the instructors to provide personal care and attention to the students. But in a data science certification course the instructors arrange 1-on-1 meetings with the learners on a regular basis in which the learners can get all their doubts and quries cleared.

5. One can accrue practical and hands-on experience -

Any decent data science training course always contains assignments and practical projects. These provide a means for the learners to accrue hands-on and practical experience under the guidance of the seasoned and experienced instructors.

So, is a data science certification worth it?

From the above points it can be clearly seen that a data science certification is completely worth it. Not only are there numerous benefits to taking a data science training course, but the demand for skilled and competent data scientists is rising steadily as well.

So anyone who takes a course such as a PGP in data science course will have no difficulties in finding a job in any sector or industry of his choosing.

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