Python Data Analytics
Course Duration : 90 Hours, Course Fee : 30000
Learn Python Data Analytics with main coverage of Python Panda Module. Get the thorough insights on implementing each modules and using it in a daily routine. Register for free demo @ +91-72899 89188
The Python Data Analytics training is designed to teaches engineers, data scientists, statisticians, and other quantitative professionals the Python skills they need to use with the Python programming language to analyze and creating customized chart as per the actual data.
Candidates are suggested to opt for basic python training by ACLM to set career in Python Data Analytics, Python based Web Framework and Python Artificial Intelligence.
Python Data Analytics Training, Objective & Outcomes:
- Learn about previous Python versions. Similarities and differences
- Data Types in Python, learn about lists, tuples, dictionary and many more
- Creating variables, declaring global and local variables and reusing variables
- Creating mixed data sets with various data types in python
- Generating sequential and random number series in numerics, date, time
- Learn to generate binary, hexacodes using python with various exercises
- Learn to create python modules, classes
- Creating and implementing existing python collections
- Design and create python parametric and non-parametric functions
- Looping and Data Flow in Python, learn to play with various loops
- Exception handling in python, learn to use {try} {except} block in python
- Practice sessions with the help of assignments, notes and assessment
- File handling in python with various unorganized data in python like csv, txt, tbdl and many more
- Data handling with the help of Pandas python framework
- Learn to installing and un-installing external python libraries
- Using external libraries like pandas, dataframe(df), numpy skypy, ndarrays and xlrd
- Identifying bad data / missing data and data cleaning technique with the help of python
- Creating Graphs, Charts, Maps in Python for GUI representation
- Merging various data sets in python
- Data statistics in python: learn linear regression, data modelling, differentiation, T-Test, F-Test, Sampling, Co-relations and many more
- Machine Learning (ML) and various other approaches to statistics
So, What’s waiting for, just register yourself and start exploring the world by this tailor-made training on python data analytics. You can also register by dropping a mail to info@aclm.in or call us @ 9718812233
Topics Covered
PYTHON DATA ANALYTICS COURSE OUTLINE
Who Should Attend
Python Data Analytics training is designed for data engineers, data scientists, statisticians, and other quantitative professionals.Pre-requisites
What You Need To Bring
- Anaconda Python 3.5
- Spyder IDE (Comes with Anaconda)
- For classes delivered online, all participants need either dual monitors or a separate device logged into the online session so that they can do their work on one screen and watch the instructor on the other. A separate computer connected to a projector or large screen TV would be another way for students to see the instructor's screen simultaneously with working on their own.
Key Takeaways
Strong Analytics Skill in PythonAbout Trainer
- International Certifications on Python Pandas, NumPi, XLRD
- Microsoft certified trainer
- Certified Azure cloud network engineer
- 12+ Years in Data Analysis, Reporting and Automation
