PYTHON MARATHALLI CERTIFICATION TRAINING
Big data, Machine Learning and Data Science using Python programming certification course authorize every one to study data science approach from basics. This Python Course will also help you genius necessary Python programming approach such as object-oriented programming , file operations data operations, and also various Python libraries such as Pandas, Numpy, Matplotlib which are important for Data Science. Python Certification Training course is also a gateway towards your Data Science profession
PYTHON COURSE CURRICULUM
- Python Introduction – Programming Cycle of Python
- Python IDE
- Data Types
- Operator -Arithmetic
- Bitwise operator
- While loop, if loop and nested loop
- Number type conversion – int(), long(). Float ()
- Mathematical functions , Random function , Trigonometric function
- Strings- Escape char, String special Operator , String formatting Operator
- Build in string methods – center(), count()decode(), encode()
- Python List – Accessing values in list, Delete list elements , Indexing slicing & Matrices
- Built in Function – cmp(), len(), min(), max()
- Tuples – Accessing values in Tuples, Delete Tuples elements , Indexing slicing & Matrices
- Built in tuples functions – cmp(), len ()
- Dictionary – Accessing values from dictionary, Deleting and updating elements in Dict.
- Properties of Dist., Built in Dist functions & Methods.
- Date & time -Time Tuple , calendar module and time module
- Function – Define function , Calling function
- pass by reference as value , Function arguments , Anonymous functions , return statements
- Scope of variables – local & global
- Import statements , Locating modules – current directory , Pythonpath
- Dir() function , global and location functions and reload () functions .
- Packages in Python
- Files in Python- Reading keyboard input , input function
- Opening and closing files . Syntax and list of modes
- Files object attribute- open , close . Reading and wri-ting files , file Position.
- Renaming and deleting files
- mkdir method, chdir () method , getcwd method , rm dir
- Exception handling – List of exceptions – Try and exception
- Try- finally clause and user defined exceptions
- OOP concepts , class , objects , Inheritance
- Overriding methods like _init_, Overloading operators , Data hiding
- match function , search function , matching vs searching
- Regular exp modifiers and patterns
- What is CGI .,Architecture of CGI , Web server support get and post () methods.
- Tkinter programming
- Tkinter widgets
- Database connectivity
- Methods- MySQL , oracle , how to install MYSQL , DB connection
- create , insert , update and delete operation , Handling errors
- Into Multi Threading
- Threading module
- creating thread
- Synchronizing threads
- Multithreaded Priority Queue/li>
- Introduction to Django framework
- Apps life cycle
- creating views
PYTHON COURSE DESCRIPTION
Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing.
AcheiversIT’s Python Certification Training not only focuses on fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problem that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds.
Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms.
AcheiversIT’s Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master the concepts like Python machine learning, scripts, and sequence.
It’s continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger.
It runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
It has evolved as the most preferred Language for Data Analytics and the increasing search trends on Python also indicates that it is the ” Next Big Thing “ and a must for Professionals in the Data Analytics domain.
- After completing this Data Science Certification training, you will be able to:
- Programmatically download and analyze data
- Learn techniques to deal with different types of data – ordinal, categorical, encoding
- Learn data visualization
- Using I python notebooks, master the art of presenting step by step data analysis
- Gain insight into the ‘Roles’ played by a Machine Learning Engineer
- Describe Machine Learning
- Work with real-time data
- Learn tools and techniques for predictive modeling
- Discuss Machine Learning algorithms and their implementation
- Validate Machine Learning algorithms
- Explain Time Series and its related concepts
- Perform Text Mining and Sentimental analysis
- Gain expertise to handle business in future, living the present
- Data Science certification course in Python is a good fit for the below professionals:
- Programmers, Developers, Technical Leads, Architects
- Developers aspiring to be a ‘Machine Learning Engineer’
- Analytics Managers who are leading a team of analysts
- Business Analysts who want to understand Machine Learning (ML) Techniques
- Information Architects who want to gain expertise in Predictive Analytics
- ‘Python’ professionals who want to design automatic predictive models
The pre-requisites for AcheiversIT’s Python course include the basic understanding of Computer Programming Languages. Fundamentals of Loops , If else conditions. And Basic understand of HTML and CSS.
PYTHON COURSE PROJECT
- A system with an Intel i3 processor or above
- A minimum of 3GB RAM (4GB or above recommended for faster processing)
- Operating system: 32bit or 64 bits
You will do your assignments/case studies using Jupyter Notebook that is already installed on your Cloud LAB environment (access it from a browser). The access credentials are available on your LMS. Should you have any queries, the 24*7 Support Team will promptly assist you.