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

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

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

Language: english

Note: 4.5/5 (57 notes) 9,985 students

Instructor(s): Jobshie Academy

Last update: 2022-11-20

What you’ll 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

 

Requirements

  • No Prerequisites

 

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

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.


 

Who this course is for

  • Entry level Job seekers for data analysis.
  • Who wants to learn Python, Microsoft Excel, PostgreSQL, Numpy, Pandas, Data Visualization in Python, Oops, Google Data Studio, Looker
  • Data analysts who wants to enhance there skills

 

Course content

  • Introduction
    • Hello
    • Introduction
    • Resources
    • Welcome
  • 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
  • Reminder
    • Reminder
  • Advanced Excel
    • Index and Match Function
    • SUM IF Formula
    • Sum Offset Formula
    • IF AND CONDITION
    • CONCATINATE
    • PMT FORMULA
    • TRIM FUNCTION
    • CHOOSE FUNCTION
    • XNPV Function
    • XIRR Function
    • COUNTA()
    • FV Function
    • RANDBETWEEN
    • SMALL FUNCTION
    • QUARITILE FUNCTION
    • MACROS
  • 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
    • Other Mathematical Functions
    • Linear Algebra and Statistics
    • Reorganizing Arrays
    • Load data using NumPy
    • Advanced Indexing and Boolean Masking
  • Looker For Data Visualization
    • Looker Introduction
    • Key Features
    • Sign Up
    • Import Data
    • Interface
    • Templates
    • Data Description
    • Text
    • Image
    • Line and Arrows
    • Shapes
    • Table
    • Scorecard
    • Timeseries
    • Bar Chart
    • Pie Chart
    • Google Map Charts
    • Google Map Chart Heatmap
    • Line Chart
    • Line Chart 2
    • Area Charts
    • Scatter Plots
    • Pivot Table
    • Bullet Charts
    • Tree Maps
    • Gauge Plot
    • Controls
    • Themes and Layouts
    • Filter
    • Blending Data
    • New Field and Formulas
    • Share
  • 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

 

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

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