Basics of Python with Data Structures and Algorithms with Beapythoneer

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Scope and opportunity in a Python programming

If you're a tech savvy, you've probably heard that Python is used for building interactive video games, diverse websites, advanced apps, softwares and many more Furthermore, advanced technologies which are trending are dependent on this programming language.

Support Artificial Intelligence

The future of this programming language can also be forecasted by looking at how AI technology has benefited from and continues to benefit from it. To direct and operate AI Python's numerous tools, frameworks and libraries are developed to improve the efficiency for numerous development processes.

Support Big Data

Python language is supporting and helping Big data domain by analysing a big number of data sets by using its efficient libraries and toolkits.

Support in Networking

Python is employed in networking for tasks like configuring routers, writing , reading and numerous networking tasks which are affordable and secure.

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Python

This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. The course is for you if you're a newcomer to Python programming, if you need a refresher on Python basics, or if you may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs

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Data Analytics

Data analytics is a vital factor for business enterprises and organizations to make a breakthrough in the highly competitive data-driven world. Data in raw form are available on a massive scale in the form of pictures, videos, social media and the like. Data analytics helps in analysing them and getting useful conclusions and information out of them. This becomes handy for the systems and businesses to optimize their functions, make their performance efficient and increase their profit. As data analytics is unavoided in all sectors such as manufacturing, finance, commerce and healthcare, there is a high demand for professionals

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Machine Learning

With strong roots in statistics, Machine Learning is becoming one of the most exciting and fast-paced computer science fields. There’s an endless supply of industries and applications that machine learning can make more efficient and intelligent. Chatbots, spam filtering, ad serving, search engines, and fraud detection are among just a few examples of how machine learning models underpin everyday life. Machine learning lets us find patterns and create mathematical models for things that would sometimes be impossible for humans to do.Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression.

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Course objective

Have you ever wondered how ecommerce platforms are able to present you with the product recommendations that are suitable for you? Or how your favourite social media platform decides to pick up the kind of posts you are looking for? Machine Learning is what makes this kind of automation work. Since Python has all the features to create algorithms and applications in data automation, it has become a popular choice in the field of Machine Learning (ML). This course teaches you how to understand data structures and create ML algorithms. The main objective of this training course is to help you to learn all fundamental skills in Python that are considered important to start a career in the Python space.

  • Know about OOPs programming in Python and how it can help you to manage daily technical stuff.
  • Know how to build and deploy real-time web apps using Python and gain the skills to use CMD line prompts too.
  • You should know how to convey Python apps effectively and get the right skills to execute an application as well.
  • Know about containerized apps, social verification process, back-end development, and front-end coding, etc.
  • Learn to install Python packages, Pandas, Scikit-Learn, SciPy, Matplotlib, NumPy, Lambda Function, Web scraping libraries, etc.
  • The Python Training Course in Delhi not only gives you theoretical skills but makes you proficient at the practical level too.
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Frequently Asked Questions

Q1: What is the difference between online and in-class learning?

A1: Online learning is done remotely using the internet while in-class learning is done in a physical classroom.

Q2: Can I switch between online and in-class learning?

A2: Yes, it depends on the availability of the course and the learning institution's policies

Q3: What are the advantages of online learning?

A3: Online learning offers flexibility, convenience, and cost-effectiveness.

Q4: Can I interact with instructors in online learning?

A4: Yes, most online learning programs offer ways to interact with instructors and other students through video conferencing, chat rooms, and discussion forums.

Q5: Do I need special equipment or software for online learning?

A5: It depends on the program or course requirements. Generally, a computer, internet connection, and basic software are required.

Q6: What if I need technical support during online learning?

A6: Most online learning programs have technical support available to assist students with any technical issues.

Q7: What is the duration of an online course?

A7: The duration of an online course varies depending on the program, course, and learning institution.

Q8: What are the advantages of in-class learning?

A8: In-class learning offers face-to-face interaction with instructors and peers, a structured learning environment, and the opportunity to ask questions in real-time.

Q9: Can I get a certificate or degree from online learning?

A9: Yes, our online learning programs offer certificates, diplomas, and degrees that are equivalent to those obtained through in-class learning.

Q10: What if I am unable to attend an in-class session?

A10: It depends on the learning institution's policies. Some institutions offer makeup sessions, while others may require students to catch up on their own.

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