Data Analytics & Visualization: Acquire Demanded Tech Skills 2024 Course For Free With Certification | Free Udemy Course | First 1000 Users for Free |

Data Analytics & Visualization: Acquire Demanded Tech Skills

Unlocking Insights through Data: Mastering Analytics and Visualization for In-Demand Tech Proficiency

What you'll learn

• Real-world use cases of Python and its versatility.
• Installation of Python on both Mac and Windows operating systems.
• Fundamentals of programming with Python, including variables and data types.
• Working with various operators in Python to perform operations.
• Fundamental concepts and importance of statistics in various fields.
• How to use statistics for effective data analysis and decision-making.
• Introduction to Python for statistical analysis, including data manipulation and visualization.

Course content

22 sections • 118 lectures • 16h 38m total length

Preview

07:17

Preview

16:41

Sorting and Filtering

15:17

Preview

08:59

Quiz on Excel Fundamentals

14 questions

Introductions to Statistical Functions

09:39

Introduction to Mathematical Functions

08:57

Quiz on Statistical and Mathematical Functions

10 questions

Introduction to Lookup Functions

08:16

Introduction to Index and Match

07:48

Introduction to Pivot Tables

10:15

Introduction to Pivot Charts

11:05

Quiz on Lookup Functions, and Pivot Tables

14 questions

Introduction to Logical Function

06:35

Formatting Cells based on Logical Functions

04:52

Introduction to Text Functions

06:41

Formatting cells based on Text Functions

09:21

Quiz on Logical Functions, and Text Functions

13 questions

Introduction to Date and Time Functions

07:11

Basics of Data Cleaning in Excel

09:16

Basics of Feature Engineering in Excel

07:13

Introduction to Power Query in Excel

05:10

Quiz on Data Cleaning and Feature Engineering

14 questions

Scenario Manager

07:47

Goal Seek

04:56

Data Tables

17:35

Solver Package

07:01

Quiz on What If analysis

14 questions

Data Visualization Best Practices

09:11

Types of Charts in Excel

04:54

Creating and Formatting Charts

03:47

Quiz on Charts and Dashboards

10 questions

Real world use cases of Python

04:42

Installation of Anaconda for Windows and macOS

04:48

Introduction to Variables

05:59

Introduction to Data Types and Type Casting

06:27

Scope of Variables

08:18

Introduction to Operators

19:03

Quiz on Basics of Python

15 questions

Introduction to Lists and Tuples

14:08

Introduction to Sets and Dictionaries

12:12

Introduction to Stacks and Queues

06:57

Introduction to Space and Time Complexity

13:27

Introduction to Sorting Algorithms

08:36

Introduction to Searching Algorithms

08:47

Quiz on Data Structures

20 questions

Introduction to Parameters and Arguments

15:18

Introduction to Python Modules

05:39

Introduction to Filter, Map, and Zip Functions

13:44

Introduction to Lambda Functions

07:03

Introduction to List, Set and Dictionary Comprehensions

10:23

Introduction to Analytical and Aggregate Functions

08:09

Quiz on Functions in Python

20 questions

Introduction to Strings

05:44

Introduction to Important String Functions

10:46

Introduction to String Formatting and User Input

08:30

Introduction to Meta Characters

22:30

Introduction to Built-in Functions for Regular Expressions

07:44

Special Characters and Sets for Regular Expressions

07:30

Quiz on Strings and Regular Expressions

18 questions

Introduction to Conditional Statements

06:35

Introduction to For Loops

04:18

Introduction to While Loops

05:14

Introduction to Break and Continue

03:09

Using Conditional Statements in Loops

05:51

Nested Loops and Conditional Statements

07:10

Quiz on Loops and Conditionals

17 questions

Introduction to OOPs Concept

05:21

Introduction to Inheritance

04:50

Introduction to Encapsulation

03:28

Introduction to Polymorphism

05:23

Introduction to Date and Time Class

07:53

Introduction to TimeDelta Class

05:17

Quiz on OOPs and Date-Time

20 questions

Introduction to Statistics and its importance

05:58

Explain the role of statistics in data analysis

05:22

Introduction to Python for Statistical Analysis

05:31

Quiz on Introduction to Statistics

6 questions

Types of Data

07:58

Measures of Central Tendency

06:18

Measures of Spread

04:37

Measures of Dependence

05:06

Measures of Shape and Position

09:37

Measures of Standard Scores

04:56

Quiz on Descriptive Statistics

10 questions

Introduction to Basic Probability

11:44

Introduction to Set Theory

06:58

Introduction to Conditional Probability

05:12

Introduction to Bayes Theorem

08:23

Introduction to Permutations and Combinations

07:47

Introduction to Random Variables

05:25

Introduction to Probability Distribution Functions

13:43

Quiz on Basic and Conditional Probability

16 questions

Introduction to Normal Distribution

13:32

Introduction to Skewness and Kurtosis

09:01

Introduction to Statistical Transformations

12:46

Introduction to Sample and Population Mean

04:57

Introduction to Central Limit Theorem

05:08

Introduction to Bias and Variance

07:28

Introduction to Maximum Likelihood Estimation

06:53

Introduction to Confidence Intervals

05:12

Introduction to Correlations

18:27

Introduction to Sampling Methods

17:00

Quiz on Inferential Statistics

9 questions

Fundamentals of Hypothesis Testing

07:09

Introduction to T Tests

09:00

Introduction to Z Tests

05:37

Introduction to Chi Squared Tests

15:16

Introduction to Anova Tests

03:30

Quiz on Hypothesis Testing

10 questions

Introduction to Numpy Arrays

08:10

Introduction to Numpy Operations

12:38

Introduction to Pandas

05:54

Introduction to Series and DataFrames

11:02

Reading CSV and JSON Data using Pandas

03:56

Analyzing the Data using Pandas

03:21

Quiz on Introduction to Numpy and Pandas

20 questions

Indexing, Selecting, and Filtering Data

14:54

Merging and Concatenation using Pandas

07:29

Correlation and Plotting using Pandas

09:30

Introduction to Lambda, Map and Apply Functions

04:47

Introduction to Grouping Operations using Pandas

08:59

Introduction to Cross Tabulation using Pandas

03:46

Introduction to Filtering Operations using Pandas

08:58

Interactive Grouping and Filtering Operations

10:00

Quiz on Advanced Functions in Pandas

20 questions

Factors for good Data Visualization

12:26

Introduction to Univariate Data Visualizations

09:10

Introduction to Bivariate Data Visualizations

03:10

Plotting two Categorical Variables

04:30

Introduction to Multivariate Data Visualizations

04:29

Introduction to Heatmaps and Pairplots

08:21

Quiz on Types of Charts and Visualizations

18 questions

Colorscales, Facet Grids, and Sub plots

22:30

Introduction to 3D Data Visualization

06:56

Introduction to Interactive Data Visualization

09:00

Introduction to Maps using Plotly

07:49

Introduction to Funnel and Gantt Charts using Plotly

14:07

Introduction to Animated Data Visualizations using Plotly

10:24

Quiz on Advanced Data Visualizations

20 questions

Requirements

Students should have a general understanding of how to operate a computer.

Be comfortable with common tasks like file management and using a web browser.

No Prior Programming Experience Required.

A basic understanding of mathematics, including algebra and arithmetic.

Familiarity with fundamental concepts in data analysis and problem-solving.

Description

Embark on a transformative journey into the dynamic realm of Data Analytics and Visualization, where you will acquire essential and sought-after tech skills. This comprehensive course is designed to empower you with proficiency in key tools and methodologies, including Python programming, Excel, statistical analysis, data analysis, and data visualization.

Key Learning Objectives:

- Gain hands-on experience in Python, a powerful and versatile programming language widely used for data analysis and manipulation.

- Learn to leverage Python libraries such as Pandas and NumPy for efficient data handling and manipulation.

- Develop advanced skills in Excel, exploring its robust features for data organization, analysis, and visualization.

- Harness the power of Excel functions and formulas to extract insights from complex datasets.

- Acquire a solid foundation in statistical concepts and techniques essential for making informed decisions based on data.

- Apply statistical methods to interpret and draw meaningful conclusions from data sets.

- Explore the entire data analysis process, from data cleaning and preprocessing to exploratory data analysis (EDA) and feature engineering.

- Learn how to identify patterns, outliers, and trends within datasets, enabling you to extract valuable insights.

- Master the art of presenting data visually through a variety of visualization tools and techniques.

- Use industry-standard tools like Matplotlib and Seaborn to create compelling and informative data visualizations.

Upon completion, you will possess a well-rounded skill set in data analytics and visualization, equipping you to tackle real-world challenges and contribute meaningfully to data-driven decision-making in any professional setting. Join us on this journey to become a proficient and sought-after tech professional in the field of data analytics and visualization.

Who this course is for:

• Beginners with no prior programming experience.
• Students or professionals in various fields, including business, science, social sciences, and healthcare, who want to enhance their data analysis skills.
• Anyone interested in automating tasks or data analysis.
• Data analysts, researchers, and scientists seeking to strengthen their statistical foundations and Python programming skills.
• Beginners with no prior statistical knowledge but with a curiosity to learn and apply statistical methods.
• Professionals looking to advance their career by acquiring valuable statistical and data analysis skills.

Instructors

Meritshot Academy

Providing Best-in-class Education and Upskilling Courses.

Meritshot Academy

4.5 Instructor Rating

600 Reviews

31,780 Students

5 Courses

Meritshot is an education and career transformation pioneer specializing in today's most in-demand corporate skills. We believe quality education and skill development are basic needs for most working professionals and Freshers aiming for a suitable Career. We foster a flourishing community of working professionals who wish to upskill themselves.

What began as an Online Learning Platform has expanded to deliver Programs and courses which can fulfil the current "Skills Gap" seen in the Corporate world.

Meritshot provides award-winning, dynamic training to close the global skills gap as individuals and companies struggle to compete in an increasingly technological economy.

This course includes:

16.5 hours on-demand video

Assignments

35 downloadable resources

Access on mobile and TV

Full lifetime access

Certificate of completion

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