Learn Python with Datascience with Excelsis Technologies

Python with Datascience Certification Course - Excelsis Technologies Certified Course with ISO

This courses will be completed in 3 Months.

As per the current pandemic situation and will all the precautionary measures we came up with two options online training and classroom training. Students can opt. as per there preference.

Once the student completes the courses successfully, we provide them – Excelsis Technologies Certificate with ISO.

1) Global Certified experienced trainers and corporate base knowledge.
2) Project and Practical knowledge.
3) MNC’s Placement support.
4) Preparation for Global certification and Interview.
5) 100% student training satisfaction.

Want to know more about Python with Datascience opportunities?

Course Overview: Python with Datascience

1) What Is Python
2) Future In Python
3) History Of Python
4) Introduction of Python
5) Environment setup and Installation of Python
6) First Python Program
7) Python Keywords and Indentation, Identifiers
8) Comments and document interlude in Python
9) Getting User Input Python
10) Data Types in Python
11) Ranges and Tuples In Python
12) Introduction of Ranges n Tuples
13) What Is List
14) Generators, Comprehensions and Lambda Expressions in Python
15) Yield Next and Ranges and Generators in Python
16) How to use ranges in Python
17) Set orders with Tuples in Python
18) Dictionaries in Python
19) Dictionaries More on Dictionaries
20) Sets in Python
21) Input and Output In Python
22) writing Text Files in Python
23) Writing Binary Files Manually in Python
24) Appending to Files and Challenge In Python
25) Function built in Python
26) Python user defined functions in Python
27) packages functions in Python
28) Defining and calling Function
29) The anonymous Functions
30) Loops and statement in Python
31) Different Modules & Packages in Python
32) Oops concept in Python
33) Classes and Objects In Python
34) Built-In Class Attribute in Python
35) Destroying Objects
36) Exception Handling in Python
37) What is Exception?
38) Handling an exception
39) try….except…else In Python
40) try-finally clause In Python
41) Argument of an Exception
42) Standard Exceptions In Python
43) What are regular expressions?
44) The match Function
45) The search Function
46) Matching vs searching
47) Search and Replace
48) Extended Regular Expressions
49) Wildcard in Python
50) Multithreading in Python
51) Starting a New Thread
52) The Threading Module in Python
53) Synchronizing Threads
54) Multithreaded Priority Queue
55) Spreadsheet Interfaces
56) Python XML interfaces
57) How to use database In Python
58) Database access in Python
59) Install Mysql database and other packages in Python
60) Create database connection In Python
61) DML and DDL Operation with Databases in Python
62) Performing Transactions
63) Handling Database Errors using Python
64) Web Scraping in Python
65) What is Datascience in Python
66) What is Numpy
67) Introduction to Numpy
68) Creating arrays in Python
69) Using arrays and Scalars using Python
70) Indexing Arrays
71) Array Transposition
72) Universal Array Function
73) Array Processing in Python
74) Array Input and Output
75) Usecases
76) What Is Pandas
77) Where it is used?
78) Series in pandas in Python
79) Index objects in Python
80) Reindex in Python
81) Drop Entry
82) Selecting Entries
83) Data Alignment in Python
84) Rank and Sort
85) Summary Statics in Python
86) Missing Data
87) Index Hierarchy
88) Matplotlib: Python For Data Visualization
89) Welcome to the Data Visualiztion Section
90) Introduction to Matplotlib
91) Django web framework in Python
92) R language introduction
MNC’s Placement support.
Preparation for Global certification and Interview.

Learn Python with Datascience with Excelsis Technologies

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