Overview
Python training certification course will help you to understand the high-level, general-purpose dynamic programming language. In this Python training course, you will be exposed to both the basic and advanced concepts of Python like Machine Learning, Deep Learning, Hadoop streaming and MapReduce in Python, and you will work with packages like Scikit and SciPy.
What you will learn
- Python Basic Constructs
- Exception Handling
- Matplotlib
- OOPS in Python
- Multi-threading
- Python for Apache Spark
- Pandas NumPy & SciPy
- Web Scraping
- Packages & functions
- Database Connections
Benefits
Data science and machine learning are the two main things Python is perfect for. Code simplicity, higher salary, and automation are just some of the best reasons to Learn Python, if you're on the fence about it.
- The good old development is another reason for learning Python.It offers so many good libraries and frameworks e.g. Django and Flask which makes web development really easy.
- The task which takes hours in PHP can be completed in minutes on Python. Python is also used a lot for web scrapping. Some of the popular websites on the Internet like Reddit is built using Python.
- Python developers are one of the highest paid developers, particularly in the Data Science, Machine learning and web development.
- On average also, they are very good paying, ranging from 70,000 USD to 150,000 USD depending upon their experience, location, and domain.
Course Content
| Introduction to Python Language | 12:00 | Play |
| Features, the advantages of Python over other programming languages | 12:00 | Play |
| Python installation – Windows, Mac & Linux distribution for Anaconda Python | 12:00 | Play |
| Deploying Python IDE | 12:00 | Play |
| Basic Python commands, data types, variables, keywords and more | 12:00 | Play |
| Built-in data types in Python | 14:00 | Play |
| Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug | 14:00 | Play |
| Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise | 14:00 | Play |
| Loop and control statements while, for, if, break, else, continue. | 14:00 | Play |
| How to write OOP concepts program in Python | 15:00 | Play |
| Connecting to a database | 15:00 | Play |
| Classes and objects in Python | 15:00 | Play |
| OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation | 15:00 | Play |
| Python functions, return types and parameters | 15:00 | Play |
| Lambda expressions | 15:00 | Play |
| Understanding the Database, need of database | 14:00 | Play |
| Installing MySQL on windows | 14:00 | Play |
| Understanding Database connection using Python. | 14:00 | Play |
| Introduction to arrays and matrices | 13:00 | Play |
| Broadcasting of array math, indexing of array | 13:00 | Play |
| Standard deviation, conditional probability, correlation and covariance. | 13:00 | Play |
| Introduction to SciPy | 12:00 | Play |
| Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, SciPy with Bayes Theorem. | 12:00 | Play |
| How to plot graph and chart with Python | 10:00 | Play |
| Various aspects of line, scatter, bar, histogram, 3D, the API of MatPlotLib, subplots. | 10:00 | Play |
| Introduction to Python dataframes | 15:00 | Play |
| Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe | 15:00 | Play |
| Various data operations like selecting, filtering, sorting, viewing, joining, combining | 15:00 | Play |
| Introduction to Exception Handling | 11:00 | Play |
| Scenarios in Exception Handling with its execution | 11:00 | Play |
| Arithmetic exception | 11:00 | Play |
| RAISE of Exception | 11:00 | Play |
| What is Random List, running a Random list on Jupyter Notebook | 11:00 | Play |
| Value Error in Exception Handling. | 11:00 | Play |
| Introduction to Thread, need of threads | 12:00 | Play |
| What are thread functions | 12:00 | Play |
| Performing various operations on thread like joining a thread, starting a thread, enumeration in a thread | 12:00 | Play |
| Creating a Multithread, finishing the multithreads. | 12:00 | Play |
| Understanding Race Condition, lock and Synchronization. | 12:00 | Play |
| Intro to modules in Python, need of modules | 12:00 | Play |
| How to import modules in python | 12:00 | Play |
| Locating a module, namespace and scoping | 12:00 | Play |
| Arithmetic operations on Modules using a function | 12:00 | Play |
| Intro to Search path, Global and local functions, filter functions | 12:00 | Play |
| Python Packages, import in packages, various ways of accessing the packages | 12:00 | Play |
| Decorators, Pointer assignments, and Xldr. | 12:00 | Play |
| Introduction to web scraping in Python | 14:00 | Play |
| Installing of beautifulsoup | 14:00 | Play |
| Installing Python parser lxml | 14:00 | Play |
| Various web scraping libraries, beautifulsoup, Scrapy Python packages | 14:00 | Play |
| Creating soup object with input HTML | 14:00 | Play |
| Searching of tree, full or partial parsing, output print | 14:00 | Play |
Course Details
This Python training will give you hands-on experience in mastering the one of the best programming languages that is Python. In this online Python course you will learn about the basic and advanced concepts of Python including MapReduce in Python, machine learning, Hadoop streaming and also Python packages like Scikit and Scipy.
As part of this online Python course you will be working on real time Python projects that have high relevance in the corporate world, step-by-step assignments and curriculum designed by industry experts. Upon completion of the Python online course you can apply for some of the best jobs in top MNCs around the world at top salaries.
Course Info.
Training Options
Selfpaced Training
200
- Lifetime access to high-quality self-paced eLearning content curated by industry experts
- 3 simulation test papers for self-assessment
- Lab access to practice live during sessions
- 24x7 learner assistance and support
Live Virtual Classes
299
- Online Classroom Flexi-Pass
- Lifetime access
- Practice lab and projects
One on One Training
680
- Customized learning delivery model (self-paced and/or instructor-led)
- Flexible pricing options
- Enterprise grade learning management system (LMS)
- Enterprise dashboards for individuals and teams
- 24x7 learner assistance and support
Exam & Certification
Duration: 65 minutes (exam) + 10 minutes (Non-Disclosure Agreement/Tutorial)
Number of Questions: 40
Format: Single-choice and multiple-choice questions
Passing Score: 70%
Language: English
FAQs
- BI Managers and Project Managers
- Software Developers and ETL Professionals
- Analytics Professionals
- Big Data Professionals
- Those who wish to have a career in Python
You don’t need any specific knowledge to learn Python. A basic knowledge of programming can help you.
Reach Us
Useful Links
Company
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B-115, Sector-2, Noida, Uttar Pradesh - 201301
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+91-1204229536
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info@wissenhive.com
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