Summer Training Report On “Google Data Analytics” A Project Work Submitted in the partial fulfilment for the award of the degree of BACHELOR OF ENGINEERING IN COMPUTER SCIENCE ENGINEERING (Hons.) -BIG DATA ANALYTICS Submitted by: Varun singh 20BCS3800 Under the Supervision of: Pramod Vishwakarma DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING APEX INSTITUE OF TECHNOLOGY CHANDIGARH UNIVERSITY, GHARUAN, MOHALI - 140413, PUNJAB June 2022 DECLARATION I, VARUN, student of ‘Bachelor of Engineering in Computer Science Engineering (Hons.) -- Big Data Analytics’, session: 2022-23, Department of Computer Science and Engineering, Apex Institute of Technology, Chandigarh University, Punjab, hereby declare that the work presented in this Project Work entitled Google Data Analytics is the outcome of our own bona fide work and is correct to the best of our knowledge and this work has been undertaken taking care of Engineering Ethics. It contains no material previously published or written by another person nor material which has been accepted for the award of any other degree or diploma of the university or other institute of higher learning, except where due acknowledgment has been made in the text. Varun singh 20BCS3800 Date: 20 June 2022 Place: Chandigarh University ACKNOWLEDGEMENT Date: 20 June 2022 In the accomplishment of completion of my project on Google Data Analytics. I would like to convey my special thanks of gratitude to my teacher Pramod Vishwakarma , of AIT - CSE of Chandigarh University. Your valuable guidance and suggestions helped me in various phases of the completion of this project. I will always be thankful to you in this regard. I am ensuring that this project was finished by me and not copied. Varun singh 20BCS3800 COMPANY PROFILE Our Story Coursera was founded by Daphne Koller and Andrew Ng with a vision of providing life- transforming learning experiences to anyone, anywhere. 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For a breakthrough price, you will learn from top university instructors and graduate with an industry- relevant university credential. ● Flexible online learning, with open degree courses you can start today ● Build your own schedule over 1-4 years of study ● All-in pricing starting at around $9,000 (USD) with the option to pay in instalments ● Earn an accredited university bachelor or master’s degree About Training: The Google Data Analytics Professional Certificate will help you build the practical skills required to become a Data Analyst. The training program is developed by Google data engineers and its offered through Coursera as part of the Google Career Certification program. This certificate has no pre-requisites. It can be followed by anyone wishing to start a career in data analysis. Upon completion of this course, you can apply for a number of jobs including junior data analyst, associate data analyst, and marketing analyst. The average salary for data professionals in the US is around $67,900 per year which makes this entry-level certification one of the most valuable Google Career Certifications you can pursue. By finishing this course and getting certified, you also get 12 college credits recognized by the ACE. This is the equivalent of 4 college courses at the bachelor’s degree level What You’ll Learn? The goal of this certificate is to help students understand how to analyze and process data to gain key business insights. In particular, by the end of this Google certification, you’ll be able to: ● ● ● ● ● Perform all tasks required as a junior data analyst Use data cleaning, analysis, and visualization tools to analyze and present data Use the R programming language with SQL and Tableau to process data Perform complex calculations using spreadsheets Create dashboards to visualize and present data Time Investment and Certification The total time needed to complete the Google Data Analytics Certification is 181 hours. You can split this into 8 months studying around 20 hours per month. To get the Google Data Analytics Certificate, you need to complete eight courses including all graded assignments and exams. How Much Does Google Data Analytics Certification Cost? The total cost to get the Google Data Analytics Certification is $312. The course is offered by Coursera through the Coursera plus subscription which costs $39 per month. On average it takes 8 months (8 X $39) for students to complete the course and get certified. CERTIFICATE Table of Content Introduction to Organization About Training 1. Foundations: Data, Data, Everywhere 2. Ask Questions to Make Data-Driven Decisions 3. Prepare Data For Exploration 4. Process Data from Dirty to Clean 5. Analyze Data to Answer Questions 6. Share Data Through the Art of Visualization 7. Data Analysis with R Programming 8. Data Analytics Capstone Project: Complete a Case Study Course 1: Foundations: Data, Data, Everywhere This is an introductory course to Data Analytics. It’s a gentle introduction to the world of data analysis, data processing, and data presentation. By the end of this course, you’ll be able to define and explain what data analytics is about, what data analysts do, and what tools they use to carry out everyday activities. The material is broken down into five weeks and to complete this course, you’ll need around 21 hours. Topic Time To Complete Week 1 Introducing data analytics 5 hours Week 2 All about analytical thinking 3 hours Week 3 The wonderful world of data 4 hours Week 4 Set up your toolbox 4 hours Week 5 Endless career possibilities 5 hours This course includes 6 graded assignments. All exams are in the form of a multiple-choice quiz. Course 2: Ask Questions to Make Data-Driven Decisions The second course is “Ask Questions to Make Data-Driven Decisions”. In this course, you’ll learn how to identify needs and ask the right questions to make data-driven decisions. You’ll also learn how to use structured thinking to understand and solve problems. It’s a relatively short course spread into four weeks. To complete this course, you’ll need to allocate 19 hours. Topic Time To Complete Week 1 Effective questions 5 hours Week 2 Data-driven decisions 3 hours Week 3 More spreadsheet basics 7 hours Week 4 Always remember the stakeholder 4 hours The exams for this course include 5 quizzes. Course 3: Prepare Data For Exploration When you complete the first two courses that are mostly theoretical, in the “Prepare Data for Exploration” course you’ll start data analysis using spreadsheets and SQL. In particular, you’ll learn how to use SQL to extract data and how to use a spreadsheet to analyze and present your findings. If you like working with data, you’ll enjoy this course more than any other course in the Google Data Analytics certification. The total time investment required for this course is 21 hours Topic Time To Complete Week 1 Data types and structures 7 hours Week 2 Bias, credibility, privacy, ethics, and access 3 hours Week 3 Databases: Where data lives 8 hours Week 4 Organizing and protecting your data 3 hours The graded work includes 5 multiple-choice quizzes. Course 4: Process Data from Dirty to Clean In this course, you’ll go deeper into one of the most important aspects of data analysis which is data cleaning. You’ll learn what data cleaning is and how to use spreadsheets and SQL to perform basic data cleaning tasks. This is a hands-on course and spreads into six weeks. The time needed to finish all the topics of this course is 23 hours. Topic Time To Complete Week 1 The importance of integrity 4 hours Week 2 Sparkling-clean data 6 hours Week 3 Cleaning data with SQL 6 hours Week 4 Verify and report on your cleaning results 2 hours Week 5 Optional: Adding data to your resume 4 hours Week 6 Course challenge 1 hour This course has four quizzes and a course challenge exercise that gives you the opportunity to apply your data cleaning skills in practice. The course challenge is easy to complete, provided that you’ve gone through the practical examples demonstrated at the beginning of this course. Course 5: Analyze Data to Answer Questions The “Analyze Data to Answer Questions” course goes deeper into data analysis using advanced spreadsheet formulas and more complicated SQL statements. You’ll learn how to perform complex data calculations to get answers to specific questions. The total time required to finish this course is 26 hours. Topic Time To Complete Week 1 Organizing data to begin analysis 5 hours Week 2 Formatting and adjusting data 5 hours Week 3 Aggregating data for analysis 5 hours Week 4 Performing data calculations 11 hours Course 6: Share Data Through the Art of Visualization An important aspect of data analysis is how you present your findings to key stakeholders and this course is all about data presentation. Besides tackling the theoretical parts of presenting data, this course is highly practical. You’ll learn how to use Tableau, a data visualization platform to create stunning presentations. Even if you decide not to take all eight courses that are part of the Google Data Analytics certification, this course alone is worth it. Tableau is a very powerful platform for presenting data and the skills gained in this course are useful for a number of job positions. The time needed to complete this course is 24 hours. Topic Time To Complete Week 1 Visualizing data 6 hours Week 2 Creating data visualizations with Tableau 5 hours Week 3 Crafting data stories 7 hours Week 4 Developing presentations and slideshows 6 hours Course 7: Data Analysis with R Programming “R” is a programming language that can help you with data analysis. This is a course that some people will like and others will hate. If you want to learn how to use a powerful programming language to perform deep data analysis, then this is a great course for you. But, if you don’t want to get into programming, you may find this course not interesting, to say the least. Nevertheless, if you plan is to become Google Data Analytics certified, you’ll have to go through this course and complete all exams (6 graded assignments in total). You’ll need to allocate 38 hours to finish this course. Topic Time To Complete Week 1 Programming and data analytics 8 hours Week 2 Programming using RStudio 5 hours Week 3 Working with data in R 8 hours Week 4 More about visualizations, aesthetics, and annotations 9 hours Week 5 Documentation and reports 8 hours To avoid any confusion, this is not a difficult course to follow. The material is organized in a logical manner and it’s easy to follow for anyone, even beginners. But, it’s a long course and for people that are not familiar with programming concepts, it will take more time to complete. Course 8: Data Analytics Capstone Project: Complete a Case Study This is the final course in the series. Once you successfully complete this course, you’ll gain your Google Data Analytics Certification! Many employers use case studies to assess analytical skills and in this course, you’ll have the opportunity to complete an optional case study. You’ll have to choose a scenario, ask questions, prepare, process, and analyze data to answer those questions. In essence, you’ll have to combine all the skills learned in the previous seven courses. In addition, you’ll learn how to start searching for a data analytics job and how to prepare for the job interview. The time needed to complete this course is 9 hours. Topic Time To Complete Week 1 Learn about capstone basics 2 hours Week 2 Optional: Building your portfolio 4 hours Week 3 Optional: Using your portfolio 2 hours Week 4 Putting your certificate to work 1 hour Google Data Analytics Certification Exams To achieve the Google Data Analytics Professional Certificate you need to finish the eight courses including all marked assessments. At the end of each week, you’ll be presented with a number of exercises. Some are optional but others are required and marked. Once you complete all marked exams, you can download your Google certification. The quizzes are not difficult to do. You can see below a couple of sample questions to get a feeling of what the exams look like. Everything that is asked in the exams is covered in the course lessons with the exception of exercises that has to do with critical thinking. How Hard is the Google Data Analytics Certification? It’s not hard to get the Google Data Analytics Professional Certification. You don’t need a degree or prior experience with data analysis. All you need is basic computer skills and the ability to work with spreadsheets. The course starts from the beginning introducing to students what data analysis is and how it works. It then explains in an easy-to-use language how to process data in spreadsheets and using the R programming language. The exams you have to take at the end of each course and mostly multiple-choice questions together with some practical assignments. If you’re willing to put the necessary effort to study the material carefully and go through the labs, you’ll have no problem finishing this course in eight months and getting the certification. Is the Google Data Analytics Certification Worth it? The Google Data Analytics Professional Certification is definitely worth the time and effort. It’s one of the most valuable entry-level certifications to pursue starting a career as a data analyst. The course is prepared by Google Engineers and recognized in the industry as valid professional certification for entry-level positions. The average salary for data analysts is around $67,900 per year (in the US), which is above the average compared to other related entry-level jobs. In addition, getting a data analytics certification opens up new career opportunities. Companies in all industries are looking for certified professionals to analyze their data and come up with data-driven answers.
