A Complete Guide To Data Analytics Courses At Coursera

In this fast-paced working environment, are you one of those who are always on their toes to upgrade themselves to match or outrun your competition? Then this article will help you and pave your way ahead of your current standing in the workplace. Keep reading to know how, and explore the best data analytics courses at Coursera. 

 

 

Who is a Data Analyst?

There are lots and lots of data available in the universe of business but the data is raw. It has no meaning. A data analyst is a person who specializes in analyzing the raw data and having insights into the same. This is then passed to the company so that the company can make smart business decisions.

Data analysts help the business in increasing business intelligence by watching and reading the patterns of the market and directing the company towards profit. A person with such kind of rapport with data helps build tools for employee satisfaction and product understanding for customer satisfaction.

 

A data analyst can help the company by using their learning and playing an important role in the following:

• He/she reads data faster and helps the company to make better decisions Like reducing costs and developing new products or services.
• They help predict future sales.
• Having such a person can help in protecting a company against fraud.
• He can help in looking at drawbacks are fallouts and help in customer retention.
• A data analyst can play an important part in supply chain efficiency.

 

Roles and Responsibilities of Data Analyst!

• They develop programs as per the requirements of the company.
• Find success metric.
• Translate the questions into the task that should be done to answer the same
• Design-build and maintain backend code
• Define the process to the company or to the team who has to act on it

 

Let’s Now Get Into the Big Question How to Become a Data Analyst?

The answer is obvious – by enrolling in one or more of many of the Data Analytics Courses At Coursera. Coursera is an online learning platform that offers courses, certificates, and degrees in data analytics and various other fields. The Data analytics courses by Coursera are offered by top universities and companies around the world.

Coursera was founded in 2012 by Andrew Ng and Daphne Koller, both Computer science professors at Stanford University.  These wide ranges of courses and programs partnered with well-known universities help one to grow in skill set. They offer online courses in computer science, data science, business, human, social science, and more and which can be done by students or professionals in any part of the world.

Of course, these certification or degree programs are conducted through video lectures, quizzes, and assignments which are pre-recorded. There are various Data Analytics Courses At Coursera that train an individual for 4 levels of analytics which are:

• Descriptive analysis
• Diagnostic analysis
• Predictive analysis
• Prescriptive analysis

 

Fees and Enrolment:

The Data Analytics Courses At Coursera range up to 2307 courses. Access to these courses is free and one can enroll in any course be it a certificate or degree. Coursera follows a subscription model for students or other people who want to do any of their thousands of courses offered.

 

 The subscription model is designed to help us

• Pay for the time you actually spend learning.
• Consistently achieve your learning goals.
• Adjust your learning schedule to fit your lifestyle.

 

In a gist, one can keep learning in Data Analytics Courses At Coursera till the subscription is active. To give an approximation, the fee of the Data Analytics Courses At Coursera ranges from 1500 to 5000 INR depending upon whether it’s a standalone course or a part of a higher degree or certification course. Coursera offers financial aid for almost all the courses which is a sigh of relief for those who want to learn and find the fee on the higher side.

 

The Data Analytics Courses At Coursera

This article will guide you through the Data Analytics Courses At Coursera. We have listed the top professional certificate that Coursera offers in data analytics and as you read there is independent knowledge of the certificate courses required to complete that professional course too.

 

• Google Data Analytics Professional Certificate

 Qualification/experience:

no prerequisite for enrolling and completing this course

Duration of the course: 6 months

Hours: under 10 hours of study per week

Language: the course is available in the English language.

Subtitles: English subtitles are available.

Level of the course: beginner level

 

Hired as: The knowledge and certificate of the course will help the student to be hired as a junior Data analyst, assistant data analyst, Marketing analyst, or similar job description on this level.

 

Skills gained on completion of this course:

spreadsheet, Data cleansing, data analysis, data visualization, SQL, questioning, decision-making, and problem-solving.

 

Detailed Learnings:

On completion of this course, one will:

• Have a basic and emotive understanding of the company’s raw data at the Bigner level which will aid in the decision-making process.
• Gain data and analytical skills like cleansing and visualizing etc with tools like Spreadsheet and SQL
• Understanding and organizing the present data using different tools

 

There are 8 certification courses that need to be completed to complete this professional course under Data Analytics Courses At Coursera which are listed under:

 

COURSE 1

Foundations: Data, Data, Everywhere

This is the 1st course in Google data and Athletics professional certificate. This course will provide you with the skills and knowledge which need to be applied in the basic or introductory level of data analysis job. This course is very compact and encourages one to learn things on their own. This course teaches how a data analyst mindset should be when dealing with data.

 

COURSE 2

Ask questions to make data-driven decisions.

This is the 2nd course in Google data analytics professional certificate. It talks about problem-solving and some of the common types of business problems that data analysts have to solve or help solve. A data analyst has to ask questions and solve problems on a regular basis.

This course teaches about effective questioning techniques that can help and guide your analysis. On basis of specific, measurable, action-oriented, relevant, time-bound, and open-ended questions crafting and drafting the company’s future actions.

 

Course 3

 Prepare data for exploration

This is the 3rd in Google analytics professional course. It flows with the 2nd course of the specialization. It gives insights into the data collected and protects data. This also includes how to sort filter data types and other useful skills that data analysts can use.

 

Course 4

 Process data from dirty to clean

This is the 4th in Google analytics professional course. This teaches the basics of SQL functions for use in cleaning variables in the data at hand.

 

Recommended Read: Data Analytics Consultant

 

Course 5

Analyse data to answer questions

This is a 5th in Google analytic professional course which follows course 4. It teaches how to organize and format the data in hand using spreadsheets and SQL. It is used to perform complex calculations after organizing data and analyzing it. This gives the student hands-on experience with SQL.

 

 Course 6

Share data to the art of visualization.

This is the 6th course in Google analytic professional certificate. This is a comprehensive course with various techniques of visualization and presentation. This course introduces dashboarding and presenting to the audience in an insightful way. It teaches soft skills while presenting oneself and data.

 

 Course 7

Data analysis with R programming

This is the 7th in Google analytic professional course. This course will make you equipped with a programming language known as R. It teaches how to use R studio which helps in cleaning, organizing, analyzing and visualizing, and reporting data in new and different, and powerful ways.

 

Course 8

Google data analysis capstone-complete a case study

This is the 8th in Google analytic professional course. This course gives the person the opportunity to put all the skills in their hands in an optional case study which will help in gaining a job or promotion. One has to pick an analytic base scenario to finish the case study.

 

• IBM Data Analyst Professional Certificate

Qualification/experience:

no prerequisite for enrolling and completing this course

Duration of the course: 4 months

Hours: under 10 hours of study per week

Language: the course is available in the English language.

Subtitles: English, Arabic, French, Portuguese, Italian, Vietnamese, German, Russian, Spanish, Korean, Persian, and Turkish subtitles are available.

Level of the course: beginner level

 

Hired as: The knowledge and certificate of the course will help the student to be hired as a junior Data analyst, assistant data analyst, Marketing analyst, or similar job description on this level.

 

Skills gained on completion of this course:

Microsoft excel, Python Programming, Data Analysis, Data Visualization (DataViz) SQL, Data Science, Spreadsheet, Pivot Table, IBM Cognos Analytics, Dashboard, Pandas, NumPy.

 

Detailed Learnings:

On completion of this course, one will:

• Learn to be prohibition in using spreadsheets and using excel to perform analysis on drawing data and complete tasks like data wrangling and data mining
• To draw and work on charts and plots in excel and work with IBM Cognos in analytic organizing analytics to build dashboards. VISUALISING data using Python.
• Gaining the working knowledge of Python language for data analysis and using libraries like pandas and NumPy and invoking APIs and Web services.

 

There are 9 certification courses that need to be completed to complete this professional course which is listed under:

 

Course 1:

Introduction to Data Analytics

This is the 1st course in one of the 9 courses in IBM data analysis for professional courses. This course gives a gentle introduction to data analysis used in the job profile. It also teaches the responsibility of data analysis, tips, and advice for starting or promotes in one’s career

 

Course 2:

Excel basics for data analysis

This is the 2nd course in IBM data analysis  Professional certificate. This course concentrates on basic excel concepts and they’re used for analyzing the data. The knowledge of how to use pivot tables and Vlook is also gained.

 

Course 3

Data visualization and dashboards with excel and Cognos

This course is the 3rd course in the IBM data analyst professional certificate. This course gives a chance to see the world of visualization through a step-by-step process and guidance to create one’s own dashboard. It is a constructive and vital course for any data analyst.

 

Course 4:

Python for data science, AI, and development.

This course is the 4th course in the IBM data analyst professional certificate. Upon completion of this course, one will be well versed in python which is 1 of the most popular languages in programming and data sites and useful to future data analysts. The person will learn to use Python data structures like List and Tupils and use Python libraries such as Pandas NumPy and Beautiful soup.

 

Course 5

Python project for data science

This is the 5th course in the IBM data analyst professional certificate. This is a small course intended to polish your Python skill working with the data provided. Completion of tasks is needed for this certificate. Already a basic knowledge of Python is needed to enroll for this course.

 

Recommended Read: Data Analyst Course Benefits

 

Course 6

Database and SQL for data science with Python

This is the 6th course in the IBM data analyst professional certificate. The course gives a basic introduction to the manipulation of SQL tables and working with IBM databases by connecting them with iPython. This course teaches advanced SQL techniques and hands-on labs and projects building SQL queries working with real databases on the cloud.

 

Course 7

Data analysis with Python

This is the 7th course in the IBM data analyst professional certificate. This course is part of multiple programs. This course will teach you to clean and wrangle data, perform EDA, and create meaningful visualization after importing data from many sources. This course also teaches working with open Payton libraries like Pandas and Numpy.

 

Course 8

Data Visualization with Python

This is the 8th course in IBM data analyst professional course. This course teaches the data analyst to explore, manage, display, and visualize data concepts to meet the final requirement of the company.

 

IBM Data Analyst Capstone Project

This is the 9th course in IBM data analyst professional certificate course. This course finally trains you to become a social data analyst or data scientist in a company who can analyze data on a daily basis and design tasks for real-world data sets.

 

• IBM Data Analytics with Excel and R

Qualification/experience:

no prerequisite for enrolling and completing this course

Duration of the course: 3 months

Hours: under 10 hours of study per week

Language: the course is available in the English language.

Subtitles: English, Arabic, French, Portuguese, Italian, Vietnamese, German, Russian, Spanish, Korean, Persian, and Turkish subtitles are available.

Level of the course: beginner level

 

Hired as: The knowledge and certificate of the course will help the student to be hired as a junior Data analyst, assistant data analyst, Marketing analyst, or similar job description on this level.

 

Skills gained on completion of this course:

Microsoft Excel, Relational database (RDBMS), R Programming, Data Analysis, Data Visualization (DataViz) SQL, Spreadsheet, Pivot Table, statistical analysis

 

Detailed Learnings:

Upon completion of this professional certificate, a person will be able

• To work as a data analyst or data scientist
• present data with the use of excellent spreadsheets and utilize charts and plots
• Work with SQL and Use R program to complete data analysis process and data preparation making predictive models and spreadsheets and helping the company to grow.

 

To complete this professional certificate, one has to complete 9 courses

 

The courses and the details are as follows

Course 1

Introduction to data analytics

This is the 1st course in one of the 9 courses in IBM data analytics with Excel and R professional certificates. This course gives a gentle introduction to data analysis used in the job profile. It also teaches the responsibility of data analysis, tips, and advice for starting or promoting one’s career.

 

Course 2

Excel Basics for data analysis

This course teaches how to use excel for data analysis to the fullest. No prior experience is required to enrolling this course.

 

Course 3

Data Visualization and Dashboard with Excel and Cognos

This is the 3rd cause in IBM data analytics with excel and R professional certificates. Use of excel to create line charts and visualization with treemaps, histograms, filled map charts, and sparklines. It also details the excel private shop feature in the excel dashboard.

 

Course 4

Assessment for Data analysis and visualization foundations

This is the 4th horse in IBM data analytics with excel and R professionals’ certificates. It trains in ways to assess the data in hand with knowledge of Excel, Spreadsheets, data visualization and dashboards, and Cognos.

 

Course 5

Introduction to R programming for data scientists

This is the 5th course in IBM data analytics with excel and R professional certificate. R languages help with techniques for manipulation and how to implement the same for creating a program for a company. This course gives the knowledge of R programming language using RStudio or Watson studio.

 

Recommended Read: Business Analytics Jobs

 

Course 6

SQL for data scientists with R

This is the 6th course in IBM data analytics with Excel and R professional certificate. Statistical query language or SQL and R languages are important in analyzing the data at hand and creating a database for future references and the growth of a company. This course gives the knowledge of the same.

 

Course 7

Data analysis with R

This is the 7th course in IBM data analytics with excel and R professional certificates. This course refines the knowledge of our language to further the skill set of the job of a data analyst. Basic knowledge of R is required for this course.

 

Course 8

Data Visualization with R

This is the 8th course in IBM data analytics with excel and R professional certificates. This is a technical course to build graphs and describe Ggplot 2, a data visualization package for R with scatter plots, line plots, and box plot histograms, maps, etc.

 

Course 9

Data science with R Capstone Project.

This is the 9th course and final course in IBM data analytics with excel and R professional certificates.  As under the certificate, you will have to submit a project depending on your learnings of basic hypothesis, testing, visualizing, and, modeling.

 

ENROLL NOW in Data Analytics courses at Coursera. What are you waiting for?  Become a data expert in the field of data analytics and data science

 

FAQs:

 

1. Can we enroll in certificate courses only?

Ans. Yes, one can enroll only in the certification courses offered under Data Analytics Courses At Coursera and increase their skill set personally and professionally.

 

2. Should the courses under the professional certificate offered under Data Analytics Courses be done in the specific order mentioned?

Ans. YES, it’s recommended to follow the specific order mentioned as the content builds on the information from earlier courses completed.

 

3. Does Coursera offer financial aid for Data Analytics?

Ans. Yes, financial aid is available for all the Data analytics courses offered by Coursera, and universities and companies offer scholarships too.

 

4. Is the subscription amount or enrolment money refundable? All about the Refund policy of Data Analytics Courses .

Ans. Coursera offers a 7-day free trial, during which you cancel the subscription at no penalty. After that, no refund is offered but one can cancel the subscription at any time.