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Data Analytics with Numpy, Pandas & Matplotlib

This course covers how to use the magical analytical library of Python in pre-processing the data. Get a comprehensive understanding of how to manipulate, clean & model data.

(11 reviews)
10 Hours 32 Mins
₹3,499/-₹6,999/-
Join the course
Created by
Jobaaj Learnings

Course description

As we all are aware, Data Analytics & Data Science is the future and is in huge demand in the industry, hence, knowledge on how to play with data becomes really essential. This program is designed to upskill you on how to filter, optimize, clean, manipulate, model & visualize data with the help of a magical Python library i.e., Numpy, Pandas, Matplotlib, etc

 

Course Overview

The reason why you should enroll in this course?

  • Data Science & Analytics is the #1 job by the number of the job opening

  • This will open work opportunities in Finance, Marketing, Sales, Tech, and a lot of other domain

  • You will be able to influence the decision making of the business through your data-driven insights

  • You can fill the gap in the demand & supply of the right certified Data Analytics professional

  • The program is updated as per 2022 Python standards

  • Our learning methodology progresses gradually from essential to advanced concepts & follows the right mix of practical & theoretical concepts.

  • All your work will be documented and will help in building your portfolio.

 

What makes us qualified to Upskill you?

Having taught more than 1000 professions, your trainer caters an experience of 8 years. He is Microsoft Certified Data Analyst, Microsoft Certified Power BI Developer, Tableau Desktop Specialist, 98-381 Python Certified, and an enthusiast data practitioner. Be assured that you are learning from the best in the market and your future is in the right hands.

Who is this program for?

All the learners, career upskilled, career switchers, students, freelancers & professionals are the right fit for the program.

How is this course different from similar products on the market?

 

  • No software download required

  • This program will build your personal profile that you can embed in your resume

  • 24x7 support through our Discord Community

  • Weekly Q&A sessions directly with the trainer

  • Lifetime access to material & updates

Prerequisite
  • No prerequisites
What you will Learn ?
  • You will be an expert in Numpy, Pandas & Matplotlib
  • Knowledge of Pandas will give you liberty to crunch or slice/dice your data as per your will
  • Learn to generate graphs and interactive visuals
  • Perform a multitude of data operations in Python s popular pandas library including grouping, pivoting, joining and more
  • Generate data driven insights that can increase profits or optimize the cost & operations
  • Personal portfolio will give you an edge over the competition

Lesson List

1

Numpy

Dot Product
00:10:32
Quiz
Sort
00:09:40
Flattening, Reshape & Shuffling
00:11:01
Broadcasting II
00:06:37
1D to 2D
00:11:57
Broadcasting
00:09:14
Assignment
00:08:18
2D Array Computation
00:06:56
1D Array Computation
00:03:41
Comparison & Logical operator
00:09:49
Introduction
00:08:44
Basic operations
00:06:06
Boolean Indexing
00:06:16
View & Copy
00:07:28
Indexing & Slicing
00:08:49
Random Array & Data Type
00:05:36
List & Numpy Array
00:07:10
3D Array
00:06:30
2D Array using Methods
00:06:34
2D Array
00:05:03
1D Array
00:13:40
2

Series

Built-in Functions IV
00:08:04
Quiz
map()
00:05:27
apply()
00:05:40
Value_counts()
00:03:55
get() method
00:04:48
Index Customization
00:13:03
Indexing & Slicing
00:06:38
In Keyword
00:03:55
Built-in Functions V
00:10:46
Why Pandas?
00:06:59
Sorting (inplace)
00:06:27
Built-in Functions III
00:07:41
Bulit-in Functions II
00:09:31
Built-in Functions
00:06:52
Attributes
00:07:43
Creating Series IV
00:07:36
Creating Series III
00:04:58
Creating Series II
00:06:24
Creating Series
00:06:24
3

Pandas

Creating Dataframe I
00:06:58
Creating Dataframe II
00:10:46
Index & Column
00:06:13
Concept of Axis
00:07:17
Mathematical Operations
00:07:42
New Column
00:07:43
Quiz
4

Dataframe Fundamentals

Dropping Null Values
00:14:46
Fill NULL Values
00:06:44
Datatype Best Practices
00:07:39
Sorting
00:07:03
Ranking
00:11:34
Quiz
5

Dataframe Filter

Mask Filtering
00:09:21
isin() method
00:04:00
NULL Filtering
00:04:05
between() method
00:04:19
Find Duplicates
00:13:15
Treating Duplicates
00:07:36
Distinct Count
00:05:03
Quiz
6

Data Extraction

Customized Index
00:12:10
Access Dataframe I
00:06:37
Access Dataframe I I
00:04:32
Access Dataframe III
00:11:59
Updating Values
00:09:03
Index Rename
00:07:48
Column Rename
00:05:10
Delete Rows
00:06:23
Random Sample
00:05:55
Largest Value
00:06:38
where() method
00:15:22
query() method
00:10:34
apply() method
00:18:20
Quiz
7

Dataframe with String

Basic Methods
00:10:23
Method Chaining
00:04:28
String Method Filter
00:04:23
Index & Column Format
00:05:07
Split Method
00:06:57
Quiz
8

Hierarchial Index Dataframe

Multi-Index
00:10:03
Index Details
00:04:44
Index Names
00:05:42
Sort Index
00:08:25
Data Extraction
00:07:01
EDA Projects
Quiz
9

Final Quiz

Quiz

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