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Description
This Imurgence course will introduce you to data analytics, Python IDE, Python basics and Python packages.
Free Courses Included
- Upon successful completion of this course, the learner will be skilled in Python programming to perform data analytics on business data.
Target Audience
This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning.
Access Timeframe
Life Time Access
Prerequisites
There are no prerequisites for this course, but a general inclination to learn coding would benefit the learner.
Type of Certification
Certificate of Completion
Format of Certification
Digital
Professional Association/Affiliation
The certificate is issued by Imurgence an autonomous institution and endorsed by SiCureMi an IIT Delhi incubated Analytics Firm.
Method of Obtaining Certification
Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion.
Curriculum For This Course
73 Lessons
10:50:22 Hours
Introduction to Data Analytics
3 Lessons
00:31:47 Hours
- Overview and Scope of Analytics 1.1 00:10:57
- Overview and Scope of Analytics 1.2 00:08:26
- Overview and Scope of Analytics 1.3 00:12:24
Python IDE
4 Lessons
00:23:58 Hours
- Installation of Python 2.1 00:07:01
- How to use Python 2.2 00:07:33
- How to use Python 2.3 00:04:40
- Installing Packages 2.4 00:04:44
Data Types & Data Structures
15 Lessons
01:47:13 Hours
- Data_Types 3.1 00:06:42
- Data Types 3.2 00:05:00
- Data Types 3.3 00:12:41
- Data Structure - List 3.4 00:09:33
- Data Structure - List 3.5 00:13:39
- Data Structure - List 3.6 00:04:44
- Data Structure - List 3.7 00:05:54
- Data Structure - List 3.8 00:03:56
- Data Structure - List 3.9 00:05:42
- Data Structure - Tuple 3.10 00:08:01
- Data Structure - Tuple 3.11 00:03:50
- Data Structure - Tuple 3.12 00:07:42
- Data Structure - Dictionary 3.13 00:07:21
- Data Structure - Dictionary 3.14 00:07:32
- Data Structure - Dictionary 3.15 00:04:56
Operators & Control Statements
5 Lessons
00:42:29 Hours
- Arithmetic Operators 4.1 00:06:11
- Relational Operators 4.2 00:03:33
- Assignment Operators 4.3 00:04:37
- Control Statements - Loops 4.4 00:21:12
- Control Statements - Loops 4.5 00:06:56
Functions
4 Lessons
00:34:33 Hours
- Functions 5.1 00:08:58
- Functions 5.2 00:06:51
- Functions 5.3 00:11:14
- Functions 5.4 00:07:30
Numpy
7 Lessons
01:18:11 Hours
- Numpy 6.1 00:05:19
- Numpy 6.2 00:16:25
- Numpy 6.3 00:11:47
- Numpy 6.4 00:07:31
- Numpy 6.5 00:05:33
- Numpy 6.6 00:16:30
- Numpy 6.7 00:15:06
Pandas
14 Lessons
02:11:28 Hours
- Pandas 7.1 00:09:29
- Pandas 7.2 00:07:39
- Pandas 7.3 00:11:41
- Pandas 7.4 00:10:29
- Pandas 7.5 00:11:54
- Pandas 7.6 00:07:21
- Pandas 7.7 00:05:48
- Pandas 7.8 00:16:01
- Pandas 7.9 00:09:41
- Pandas 7.10 00:06:19
- Pandas 7.11 00:07:39
- Pandas 7.12 00:07:49
- Pandas 7.13 00:13:54
- Pandas 7.14 00:05:44
Data Manipulation
10 Lessons
01:48:29 Hours
- Data Manipulation 8.1 00:09:42
- Data Manipulation 8.2 00:09:45
- Data Manipulation 8.3 00:06:24
- Data Manipulation 8.4 00:09:11
- Data Manipulation 8.5 00:21:11
- Data Manipulation 8.6 00:10:25
- Data Manipulation 8.7 00:11:59
- Data Manipulation 8.8 00:10:37
- Data Manipulation 8.9 00:08:22
- Data Manipulation 8.10 00:10:53
Data Processing
4 Lessons
00:39:14 Hours
- Data Preprocessing 9.1 00:11:59
- Data Preprocessing 9.2 00:09:11
- Data Preprocessing 9.3 00:09:17
- Data Preprocessing 9.4 00:08:47
Visualization using Matplot
7 Lessons
00:53:00 Hours
- Visualization using Matplot 10.1 00:09:18
- Visualization using Matplot 10.2 00:06:40
- Visualization using Matplot 10.3 00:07:47
- Visualization using Matplot 10.4 00:03:02
- Visualization using Matplot 10.5 00:07:21
- Visualization using Matplot 10.6 00:08:39
- Visualization using Matplot 10.7 00:10:13
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Student Feedback
Reviews
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Thu, 09-May-2019Shyam MakwanaI am a Student and I have learnt Python for development purpose, but this course was required as I wanted to learn the python libraries essential for Data Science application. I liked the basic course and I will enrol for the advanced courses in Python. -
Thu, 30-May-2019Rohit GuptaIndecisiveness was solved with the pricing Imurgence offer for basic Python course. I have already completed 1st Module and since I found it interesting I am currently pursuing the advanced modules of Data Science using Python.
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Wed, 24-Jul-2019Yuvraj ShuklaIt was an extremely useful and profound course, the guidance was in every case clear and connecting with relevant visuals to represent and clarify the concepts. Good Course!
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Fri, 26-Jul-2019Aadavan BalakrishnanIncredible course with marvelous theoretical a foundation. I think the comprehensive Python module gives us opportunity to appear for inbuilt assessments and instrumental projects. I have almost come to the end of basic module, however, I have decided to upgrade to the advanced modules.
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Sat, 27-Jul-2019Devin VarmaA I'm glad to have picked and finished this course, I learned Statistics and software installation and also certain level of programming. I highly appreciate the explanation a provided the content quality has made me consider enrollment in intermediate and the advanced Python modules.
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Sat, 27-Jul-2019Shlok RoyI intend to start my own projects as I have learnt Python earlier, I enrolled for Imurgence course as I wanted Data Science specific content, and I should say that this course possesses all the necessary qualities required for reaching my goal. The Tech team members seem to have worked on many projects, hence their analysis of the problem at hand is very precise therefore they offer quick resolution to my queries.
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Tue, 30-Jul-2019Aayu SalviIt was great learning experience.
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