StepLeaf’s Python Certification Training for DataScience Course is a kickstart to learn zero knowledge python programming and write down Python Scripts. This course gives in-depth understanding of data structures, Python programming fundamentals and working with data in Python
|Jul 25||Sat,Sun (10.5 Weeks) Weekend Batch||01:30 AM 03:30 AM|
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StepLeaf’s Python Certification Training for DataScience Course helps you to perform hands-on analysis using Python from Scratch. The data analysis is done in a Jupyter-based lab environment. It helps you to create your own data science projects.
This course is a benchmark for you to build a complex model in ease. It helps you to learn uncanny things and a good threshold to work with.
Who should take up this Certification Course?
StepLeaf’s Python for DataScience Course is mainly preferred for Analytics Manager, Software Developers, Business Analytics, Integration specialists, Information Architects and Python professionals.
What are the prerequisites for this course?
Little knowledge in the basics of Computer programming will explode your learning into a masterpiece.
Python, numpy, matplotlib, pandas, exceptionmanagement, functions, lambda, machinelearning, linearregression, gradientdescent, randomforest, confusionmatrix, decisiontree, dimensionalityreduction, naïvebayes, svm, supportvectormachine, associationrules, reinforcement, tsa, modelselection
Learning Objectives: You will get a brief idea of what Python is and touch on the basics.
Structure your learning and get a certificate to prove it.
What are the system requirements for our Python Certification Training for DataScience?
The practical training is done in a Cloud Lab environment. This environment already has the required software in it.
How will I execute my practicals?
The Case Studies are executed using Jupyter Notebook in Cloud Lab. The necessary instruction will be given by our StepLeaf instructor to execute all the assignments.
What are the Case studies for this course?
There are totally 40 case studies as a part of this training. Given below are few of them.
Case Study 1
An Online Hotel booking application wants to create a recommendation of optimal suggestions for the users to book a hotel. Predict the hotel cluster for the user to book a room in a hotel using multi-class classification problems, build SVM and decision tree.
Case Study 2
In an Online Public Library users are requested to search for their individual choice of book. Using the ML model suggests that users read some more books based on his past purchase and refer to similar books read by other users. Help the library to find the error in their approach and build a profitable application.
Case Study 3
Do an end-to-end case study using time series analysis and forecasting with ML using Python. Extract meaningful statistics and find the insight of the data to predict future value with observed values.
Case Study 4
A construction company had a problem with its clients based on the quality of the building being constructed. Do an analysis and figure out all the different department in constructing a building and discover the problem and efficiency in each department which hinders the quality. Implement a proper solution to the problem
What are the projects for this course?
There are totally 5 projects as a part of this training. Given below is one of them.
1. Download and install Python SciPy
2. Load dataset
3. Create 6 Machine Learning models, find the best with accuracy
Online learning is a mixture of live tutoring and recorded videos. It helps you to complete on your own time and give much flexibility to the students. Finally, you can say that it just fits your needs.