Course Content
Introduction to Data Analytics, Data Science, AI & ML
0/2
What is Data Analytics, Data Science, AI & ML
02:01:30
Interview Preparation Roadmap on Data Analytics, Data Science, AI & ML
01:26:51
Applied Statistics
Statistics is very important for Data Analyst & Data Scientist job positions. We will be discussing Applied Statistics and How we use them in Real-time with proper Pros and Cons behind every Statistics Topic with Mindmap Driven Approach.
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What is Data, What is Random Variable, Types of Data?
01:08:31
Probability Distributions and Normal Distribution
01:29:44
Mastering Python[Zero to Hero]
0/30
Introduction to Python
01:02:54
Python Arithmetic Operators & Data Structures
01:04:10
Variables, Values, Data Types, Int in Python
01:01:53
List, Tuple, Set & Dict Commands in Python
57:16
Different List Methods
55:48
Different Tuple Methods
01:04:52
Different Set Methods
01:00:50
Different Dictionary & String Manipulations
50:56
Overview on Loops, IF, USD Functions, Escape Sequences, Lambda, Regular Exp
01:03:15
IF Statement, Types of Operators, Lambda, Python Modules
23:42
Loops, Break, Continue, Different Arguments
01:01:18
Functions, Escape Sequence & Lambda
52:23
Hackathon-1
54:32
Introduction to OOPS, POP vs OOP
16:16
Deep Dive into OOPS
56:53
Association, Composition, Polymorphism
50:02
OOPS Concept
36:29
Inheritance-Single, Multilevel, Hierarchical, Multiple, Encapsulation, Abstraction, Polymorphism [Brief] Basics
01:07:07
Encapsulation, Inheritance, Method Overriding, Method Overloading
53:59
Introduction to Pandas
01:05:22
Data Analysis with Pandas
01:34:29
Introduction to Numpy
57:26
Deep Into Numpy
01:03:00
Introduction to Data Visualisation
51:41
Matplotlib Deep Dive
01:00:20
Seaborn Commands
59:34
Plotly Data Visualisation
41:44
Why data Cleaning? Explanation with examples
47:05
Data Cleaning with Pandas
49:57
Regular Expression Basics
54:01
Tableau Data Analysis
0/11
Introduction to Tableau
01:14:02
Basics of Tableau
32:02
Different Types of Charts in Tableau
30:01
Table Calculations & Parameters
21:51
Waterfall Chart, Pareto Chart, Types of Filters
25:12
LOD Expressions & Pareto Chart
16:08
MySQL Connection with Tableau
12:10
End-to-End Project using Tableau
19:25
Connecting Tableau Desktop with Server
11:35
Tableau Server, Scheduling, Alerts, Comments
04:54
Tableau Interview Preparation Process
07:34
Mastering Power BI[Zero to Hero]
0/27
Introduction to Power Bi
04:33
Creating a Bar Plot
09:58
Creating Pie Chart
03:32
Creating Ribbon Chart
02:37
Creating Scatter Plot
04:10
Creating WaterFall Charts
04:41
Creating Funnel Chart
01:59
Creating Line Plot & Area Plot
05:12
Creating Matrix & Conditional Formatting
06:09
Creating Decomposition Tree
02:26
Creating KPI Card
03:13
Creating Gauge Card
04:21
Creating Slicers
03:22
Creating Animated Bar Plot
02:37
Creating Sunburst Chart
02:34
Different Filers in Power BI
04:07
Include & Exclude Operations in Power BI
02:37
Introduction to Power Query
06:11
Groupby & Replace in Power Query
01:52
Merge and Append Operations
02:36
Prefix, Suffix, Length
02:43
Pivot in Power Query
03:51
Introduction to DAX Expressions
03:05
Creating DAX Measures
03:06
Creating DAX Columns
03:06
More DAX Expressions
02:52
Publishing Power BI Visualizations
06:39
MySQL Deep Dive
0/8
Introduction to MySQL
23:29
Creating Database in MySQL
19:23
Understanding MySQL Interface
15:42
SELECT, UPDATE, DELETE, INSERT
29:03
Clauses in MYSQL Part-1
18:39
Clauses in MySQL Part-2
23:31
MySQL Data Handling Operations
41:21
MySQL Data Handling Operations-2
41:22
End-to-End Data Analysis using Power BI & MySQL
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End-to-End Data Analytics using Power BI
01:43:44
Data Analysis using MySQL
01:45:33
Data Analysis using MySQL & DAX Calculations in Power BI
01:18:27
How to Prepare for Data Analytics Interviews
57:30
End-to-End Data Analytics using Excel
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End-to-End Data Analytics using Excel
03:31:41
End-to-End Data Analytics using Tableau
0/2
Assignments
End-to-End Data Analytics using Tableau
03:12:00
Course Files
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Course Files
Full Stack Data Analytics – #BuildExperience Program
About Lesson

 What is Data science, Data analytics & AI/ML with Descriptive Analytics, Predictive Analytics & Prescriptive Analytics? 

Exercise Files
Data Science Agenda.pdf
Size: 8.11 MB
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