• Have any questions?
  • +91-9075860098, 8698729665, 9823769310
  • info@sincetechnologies.com
Python Developer & Analyst
Trainer:
Reviews:
Categories:
description
curriculum
reviews
Python Developer & Analyst

Python has a good future in this world where AI and ML studies are taking leaps in their growth day by day. We are a focused enterprise that strongly believes in empowering minds with multi skills and enlightening them for current and future need. It making us best python training institute in Pimpri Chinchwad.

Requirements
  • Basic knowledge of internet concepts.
  • Basic knowledge of any Programming Language concepts.
FAQ
Can I just enroll in a single course?

Yes, You can enroll for any single course. Prior you have to send us an email or enquiry for the same.

Can I enroll for this course without any IT background?

Yes. You can enroll but you will have to work hard for learning from the scratch.

What is the refund policy?

Yes. 70% amount can be refunded in case of enrollment cancellation is done in between 1-15 days from starting of course.

What background knowledge is necessary?

You must have basic knowledge of any programing language.

Do i need to take the courses in a specific order?

Yes, we always recommend that course has to be taken from topics/subjects order to undestand better.

Python Developer and Analyst

Python is a high level and multi paradigm programming language designed by Guido van Rossum, a dutch programmer, having all the features as conventional programming languages such as C, C++ and Java have.

Python1 with Data Analysis and ML
  
Setup
  Installation Setup and Overview
  IDEs and Course Resources
  iPython/Jupyter Notebook Overview
  
Python Basics 
  Syntax
  Variables
  Numbers
  Casting
  Strings
  Operators
  Lists
  Tuples
  Sets
  Dictionaries
  Conditions
  While Loops
  For Loops
  Functions
  Lambda
  Arrays
  Classes/Objects
  Modules
  Dates
  JSON
  PIP

File Handling
  File Handling
  Read Files
  Write/Create Files
  Delete Files

Learning Numpy
  Intro to numpy
  Creating arrays
  Using arrays and scalars
  Indexing Arrays
  Array Transposition
  Universal Array Function
  Array Processing
  Array Input and Output
  
Intro to Pandas
  Series  
  DataFrames
  Index objects
  Reindex
  Drop Entry
  Selecting Entries
  Data Alignment
  Rank and Sort
  Summary Statistics
  Missing Data
  Index Hierarchy  

Working with Data
  Reading and Writing Text Files
  JSON with Python
  HTML with Python
  Microsoft Excel files with    
  Merge
  Merge on Index
  Concatenate
  Combining DataFrames
  Reshaping
  Pivoting
  Duplicates in DataFrames
  Mapping
  Replace
  Rename Index
  Binning
  Outliers
  Permutation
  GroupBy on DataFrames
  GroupBy on Dict and Series
  Aggregation
  Preview
  Splitting Applying and Combining
  Cross Tabulation

Data Visualization
  Installing Seaborn
  Histograms
  Kernel Density Estimate Plots
  Preview
  Combining Plot Styles
  Box and Violin Plots
  Regression Plots
  Heatmaps and Clustered Matrices  

Machine Learning
  Introduction to Machine Learning with SciKit Learn
  Linear Regression 
  Logistic Regression 
  Multi Class Classification Part 1 - Logistic Regression
  Multi Class Classification Part 2 - k Nearest Neighbor
  Support Vector Machines 
  Naive Bayes 
  Decision Trees and Random Forests
  Natural Language Processing
  
MICROSOFT CERTIFICATION Guide

Domain Based Project
100 Assignments
Course Review
4.6
(08)
  • 5 Star
  • 4 Star
  • 3 Star
  • 2 Star
  • 1 Star
Add a review
You must be logged in to post a comment.