Certificate Program in Data Analytics using Python Programming

Learn concepts of data analytics using Python with hands-on case studies

paid 5(2 Ratings) 9 Students Enrolled
Created By Imurgence Learning Last Updated Thu, 18-Apr-2019
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Description
This Imurgence course will introduce you to data analytics, Python IDE, Python basics and Python packages.

  • 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
One Year from the date of 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
  • 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 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
  • 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 5.1 00:08:58
  • Functions 5.2 00:06:51
  • Functions 5.3 00:11:14
  • Functions 5.4 00:07:30
  • 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 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 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 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 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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About The Instructor
  • 47 Reviews
  • 126 Students
  • 22 Courses
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Reviews
  • Thu, 09-May-2019
    Shyam Makwana
    I 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-2019
    Rohit Gupta
    Indecisiveness 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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Includes:
  • Self-Paced Training
  • 10:50:22 Hours Videos
  • 73 Lessons
  • Certification Course
  • All Levels