Getting Started with Tableau
By Jobaaj Learnings
₹6,999/-₹13,999/-
2,750 Enrolled Students
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Reserve Your Spot Now!Data Analytics using Python
This program will expose the learners to the core concepts of Data Analytics which is one of the hottest fields with huge demand. Right from the scratch, we will learn python essentials and gradually move to the advanced concepts of Pandas, Numpy, Matplotlib etc. to manipulate, transform and model data for actionable insights.
33 Hours 1 Mins
₹11,000/-₹15,000/-
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Created by
Jobaaj Learnings
Course description
Reasons why you should enroll in this course?
- D&A is getting more & more powerful and no industry or domain is untouched by its application.
- Having a nanodegree in D&A will expose you to tons of opportunities & job openings.
- Our learning methodology progresses gradually from basic to advance concepts & follows the right mix of practical & theoretical concepts
- All your work will be documented and will help in building your personal portfolio
What makes us qualified to Upskill you ?
Our trainer is highly qualified & experienced in Data & Analytics practice. He is certified by Microsoft as a Data Analyst Associate. Also, he is Tableau
Certified Desktop Specialist & 98-381 Python Certified. Be assured that your investments are in right hands.
How is this course different from similar products in the market?
You will make a data-driven product at the end that will build your personal portfolio
All the codes & reports will be documented that will increase your credibility manifold during any recruitment process
24x7 support through our Discord Community
Prerequisite
-
No prerequisites
Lesson List
1
Welcome Kit
Discord Community Bonus
Orientation Program
00:43:23
2
Getting Started
Know Your Trainer
00:01:43
Data Analytics / Analyst ?
00:14:26
Current & Future State of D&A
00:15:53
Is Your Data Collected?
00:08:27
Why data is the new oil?
00:06:48
Amazon Case Study
00:11:16
Job Roles in Data
00:11:14
Data Providing Companies
00:12:36
Some Stats
00:12:39
What does Gartner Says?
00:11:04
Tasks of a Data Analyst
00:14:25
Types of Data Analysis
00:10:00
3
Data Literacy
Database Schema
00:15:53
EDA
00:10:16
Outliers
00:05:30
Data Wrangling
00:11:00
Data Type
00:10:02
Cloud vs on-premises Data Storage
00:12:00
Data Center
00:06:26
Data Server
00:08:48
DB vs Warehouse vs Lake
00:14:51
Big Data
00:10:17
Cardinality
00:13:06
Why RDBMS ?
00:10:21
Database 2
00:16:42
Database 1
00:11:46
Types of data
00:09:07
Sentimental Analysis
00:11:03
Limitation of excel
00:09:32
Metadata
00:07:28
4
Miscellaneous Concepts
Aggregation & granularity
00:11:12
Measure of Central Tendency
00:15:14
Imputation
00:08:12
Deviation
00:18:38
Distribution
00:13:10
What is KPI
00:08:22
Best Practices for Charts
00:14:13
Best Practices for Charts -2
00:11:40
5
Module 2
Note
6
Live Sessions
Session 1
00:44:15
Session 2
00:48:52
Session 3
00:27:56
Session 4
00:42:48
Session 5
00:52:03
Session 6
00:34:15
Session 7
00:35:37
Session 8
00:44:19
Session 9
00:51:51
Session 10
00:59:37
Session 11
01:11:21
Session 12
01:11:21
Session 13
01:13:17
Session 14
01:20:34
Session 15
01:15:55
Session 16
01:14:05
Session 17
01:20:59
Session 18
01:16:08
Session 19
00:59:19
Session 20
01:09:06
Session 21
01:15:17
Session 22
01:23:28
Session 23
00:55:22
Session 24
01:01:49
Data Analytics Project Lifecycle | Live Session | 13.11.22
01:02:50
1
Welcome Kit
Discord Community Bonus
Orientation Program
00:43:232
Getting Started
Know Your Trainer
00:01:43Data Analytics / Analyst ?
00:14:26Current & Future State of D&A
00:15:53Is Your Data Collected?
00:08:27Why data is the new oil?
00:06:48Amazon Case Study
00:11:16Job Roles in Data
00:11:14Data Providing Companies
00:12:36Some Stats
00:12:39What does Gartner Says?
00:11:04Tasks of a Data Analyst
00:14:25Types of Data Analysis
00:10:003
Data Literacy
Database Schema
00:15:53EDA
00:10:16Outliers
00:05:30Data Wrangling
00:11:00Data Type
00:10:02Cloud vs on-premises Data Storage
00:12:00Data Center
00:06:26Data Server
00:08:48DB vs Warehouse vs Lake
00:14:51Big Data
00:10:17Cardinality
00:13:06Why RDBMS ?
00:10:21Database 2
00:16:42Database 1
00:11:46Types of data
00:09:07Sentimental Analysis
00:11:03Limitation of excel
00:09:32Metadata
00:07:284
Miscellaneous Concepts
Aggregation & granularity
00:11:12Measure of Central Tendency
00:15:14Imputation
00:08:12Deviation
00:18:38Distribution
00:13:10What is KPI
00:08:22Best Practices for Charts
00:14:13Best Practices for Charts -2
00:11:405
Module 2
Note
6
Live Sessions
Session 1
00:44:15Session 2
00:48:52Session 3
00:27:56Session 4
00:42:48Session 5
00:52:03Session 6
00:34:15Session 7
00:35:37Session 8
00:44:19Session 9
00:51:51Session 10
00:59:37Session 11
01:11:21Session 12
01:11:21Session 13
01:13:17Session 14
01:20:34Session 15
01:15:55Session 16
01:14:05Session 17
01:20:59Session 18
01:16:08Session 19
00:59:19Session 20
01:09:06Session 21
01:15:17Session 22
01:23:28Session 23
00:55:22Session 24
01:01:49Data Analytics Project Lifecycle | Live Session | 13.11.22
01:02:50" Hear what our students have to say "
The course at Jobaaj was an excellent learning opportunity, featuring real-world problems. My diplom Read More
Lokesh
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