Data Analysis for Entry Level Job – ( 9 courses in 1 )


Python | Excel | SQL | PostgreSQL | Pandas | Numpy | Looker | Python for Data Visualization | oop | Beginner to Advanced

What you will learn

Learn Microsoft Excel for Data Analysis

Learn Python Programming language for Data Analysis and Data Science

Learn SQL/PostgreSQL for database design and handing big data

Learn Pandas and Numpy for data manipulation and Mathematical calculations.

Learn Data Visualization in Python – Beginner to Advanced

Learn Oops Concepts – Encapsulation + Abstraction + Inheritance + Polymorphism

Learn Looker – For Data Visualization

Learn Google Data Studio for Data Visualization

Description

Hello and welcome to this full and comprehensive course on data analysis.

This is your path to a career in data analytics. In this program, you’ll learn in-demand skills that will have you job-ready in less than a month. No degree or experience is required.

After completing this course, you will be ready for the following job titles:

Junior Data Analyst, Associate Data Analyst, Junior Data Scientist, Finance Analyst, Operations Analyst, Data Technician, Business Performance Analyst, Marketing Analyst, Healthcare Analyst

You will get Get professional training to kick start your career. There are 380,000 U.S. job openings in data analytics with a $74,000 median entry-level salary. Around 2 lakh job openings are on LinkedIn itself.

This is not a single course but a bundle of Over 9 courses that are carefully designed to transform you from a beginner to an expert. , You will gain in-demand skills that prepare you for an entry-level job.

What is data analysis?

Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making.

Skills you will learn:

Microsoft Excel: Microsoft Excel is a spreadsheet program used to record and analyze numerical and statistical data. Microsoft Excel provides multiple features to perform various operations like calculations, pivot tables, graph tools, macro programming etc.

Postgresql: PostgreSQL, also known as Postgres, is a free and open-source relational database management system emphasizing extensibility and SQL compliance.

Python programming language: Python is a popular general-purpose programming language. It is used in machine learning, web development, desktop applications, and many other fields.

Pandas and Numpy library: Pandas is a python library. It is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language( We will learn more about libraries inside our course)

NumPy is also a python library, With the help of NumPy library, we can create and manipulate multi-dimensional arrays and matrices, and we can use a large collection of high-level mathematical functions to operate on these arrays.

Seaborn library for Data visualization: Seaborn is also a python library built on top of matplotlib and closely integrated with pandas data structures in Python. Visualization is the central part of Seaborn, which helps in the exploration and understanding of data. With the help of data Visualization, we can quickly convey our analysis to others. It’s like storytelling.

Google Data Studio ( Looker ): Google Data Studio is an incredibly easy-to-use drag-and-drop tool that allows a multitude of different visualizations to be created in minutes. The addition of filtering tools produces stunning reports that will take your data analysis to the next level.

Google Data Studio is available free to people with a Google or Gmail account.

OOPS: Object Oriented programming is one of the most asked technical interview topics. So, if you want to ace your interviews, you need a thorough understanding of OOPs (Object Oriented Programming).

Object-oriented programming is one of the most sought-after skills in the programming world, and as a web developer, if you master it, you’ll stand out from the rest.

So, if you’d like to delve deep into the exciting world of OOPs, especially with Javascript as your language of choice, this course is perfect for you.

Jobshie Academy Reviews

300+ learner reviews | 4+ average rating


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We help learners across the globe develop new skills and achieve their personal and professional goals. Browse learner reviews below to discover how people enjoy the online learning experience at Jobshie Academy.

“I have gained useful skills while learning this course. I can consider myself a data analysis specialist. Thank you”

by Joseph Israel

“I was a nice experience about this course as it introduces with many topics which are related to data analysis .”

by Sreeraj Mopkar

“very good explaination , bohot achhe se sab samajh aata hai …100% Understanding all concept very much….excellent explanation”

by Moosa Khan

“The course is very instructive and didactic, I liked it, it is all the information I need for my activities”

by Jaime Ronald Palma Aguilar

“yeah it was such a great course, the teacher took time out to disect all angles of Excel, he touched all the essential parts, needed for our daily use of excel. Thanks a lot”

by Unyime Joshua

“The instructor is very knowledgeable and teach in a very engaging way. I totally recommend this course.????”

by Aditya

Once you complete this course, you will be proficient in all these tools. In this course, you not only learn about how to use these tools but also why and when to use these tools. You will think like a pro data analyst after completing this course.

Learn By Practice

You will have hands-on practice through carefully designed quizzes, exercises, projects, and coding challenges to make sure you actually learning the concepts.

The projects you complete in this course can be included in your resume, and these real-world projects will help you in getting your dream job.

No Prerequisites

Because everything is covered in this course from scratch, you don’t need to have any prior knowledge of anything. You just need a computer and internet connection. So, there are no prerequisites for this course.

Incredible Doubt Support

If you face any problem or if you have any doubt, you personally message me, or you can post your doubt on the Question answer form. I will personally answer your doubt within a few hours.

So, what are you waiting for? Enroll now, and I will see you in the class.

English
language

Content

Introduction

Introduction

Python Programming language

Installation – Python
Installation – VS Code
Tour
Setup and Hello World
Drawing a Shape
DataTypes
Variables
Strings
Numbers
Taking an Input
Lists
List_functions
Tuples
Dictionaries
Functions
Return Statement
Operators
If Statement
If Statements & Comparisons
While Loop
For Loops
Exponent Function
2D Lists & Nested Loops
Comments
Try & Except
Reading Files
Writing Files

Oop

Introduction
What is oop?
Encapsulation
Abstraction
Inheritance
Polymorphism

Microsoft Excel

MicroSoft Excel
Customization
Shortcuts
Mathematics Operations
Data Validation
Filters
Shorting
Grouping
Functions
Minimum and Maximum Values
Average
Count
Is Numeric Function
RAND Function
Round Function
Median
Power
Left Right and Mid Function
Find Function
Date Function
IF Condition
IF ERROR Condition
Nested IF Condition
AND
OR
VLOOKUP
Pivot Table
Pie Chart
Column Chart
Line Chart
Other Charts

Pandas

Data Description
Importing the data
Series
Creating a DataFrame
Homework
Data Cleaning
Mean Median Mode
Empty cells
Wrong Data
Wrong Datatype
Duplicates
Correlation Introduction
Correlation

Numpy

NumPy and it’s Applications
Initializing an Array
NumPy Datatypes
Accessing/Changing Specific Elements
Initializing Different Arrays (1s, 0s, full, random, etc)
Basic Mathematics
Linear Algebra and Statistics
Reorganizing Arrays
Load data using NumPy
Advanced Indexing and Boolean Masking

Seaborn – Data Visualization

Importing the data
DISPLOT
Uses of distribution plot
KDE introduction
KDE Plot Part 1
KDE Plot Part 2
Scatter Plot
Rug Plot
Joint Plot
Pair Plot
Bar Plot
Count Plot
Box Plot
Violin Plot
Strip Plot
Swarm Plot
Heat Map
Pair Grid
Sub Plots

PostgreSQL

Installation
Select Statement
Creating a table
Insert data into a table
Alter data in a table
Drop a column
Drop a row
Order by command
Limit, Alias, Distinct
WHERE, AND, OR, IN, BETWEEN
Aggregate and Group by command

Advanced PostgreSQL

Create database and drop table
Create table and Foreign Key
Insert data
Update using SET
Delete Records
Display Specific Columns
Display Specific Rows
ORDER BY – LIMIT
WHERE – NOT
BETWEEN
Equal to, Not Equal to
Nested Queries
LIKE Condition
DISTINCT
Connect Two Tables
JOINS
EXCEPT
Special Query

Instagram clone Database

Create Database and Users Table
Phots Table
Comment Table
Like Table
Follows Table
Tags Table
Photos Tags Table
Insert Data
Query 1
Query 2
Query 3
Query 4
Query 5
Query 6
Query 7
Query 8
Query 9

Certificate

Certificate