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Can Data Analytics Be Self-Taught? If Yes, How? – A Detailed Guide

Many students and professionals are desperately searching for a way to say yes to “Can Data Analytics be self-taught?”. The rise in demand for data analytics in the work environment is the main reason for individuals wanting to pursue a career in it. It is great to identify the streams with more job prospects. It is a form of self-care as entering a trending field will allow you to explore career opportunities and continue earning bread and butter even if there is a recession. Let’s not wait anymore and get started with essential details that make you say yes to Can Data Analytics be self-taught?.

Can Data Analytics Be Self-Taught

Books to Learn Data Analytics

Books are the best means to learn anything at your own pace. There won’t be any rush to complete the chapters as you are the boss and get to decide when and what to finish reading. 5 famous and most knowledge-worthy papers and digital content on data analytics are:

  • Data Analytics Made Accessible by Anil Maheshwari
  • Numsense! Data Science for the Layman: No Math Added by Annalyn Ng and Kenneth Soo
  • Python for Everybody: Exploring Data in Python 3 by Dr. Charles Russell Severance
  • Big Data: A Revolution That Will Transform How We Live, Work, and Think by Kenneth Cukier and Viktor Mayer-Schönberger
  • Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking by Foster Provost and Tom Fawcett

Must Read:

Data Analytics Made Accessible by Anil Maheshwari

Being able to learn data analytics can be tough, especially if you are not aware of certain basics of Data Science. This book is written to help readers understand those basics through a conversational tone. Examples are included in all chapters for the user’s convenience. Information on Data Lakes, ChatGPT, Recommendation Engines, types of AI systems, and a Basic Data Mining Project report. 

The latest edition has a new chapter addition; Data Wrangling, Top public universities in the US consider this book as one of the top books that assist a data analyst to easily grasp the subject. The arrangement of the chapters is made to prepare the students with useful data to apply for data analytics jobs. All the chapters have case-lets to make the learners understand the topics in a better way. Running case studies are present in almost every chapter as a kind of exercise. 

This piece of work is purchased to get an idea about the latest trends in data analytics along with explanations of a few major data mining platforms and techniques. You can read the summary in the book to know what you are buying and what you can expect from the product. A buyer of this content will acquire knowledge about Artificial Intelligence, Big Data, Data Ownership & Privacy, and Data Science careers. If you are an individual from computer science, business, engineering, statistics, and related academic disciplines, you can buy the book and become more knowledgeable to draw insights from data for business purposes. Many professionals such as managers, analysts, executives, doctors, professors, and accountants read this book to apply techniques in their respective fields and thrive in their streams. 

You may also want to know about:

Numsense! Data Science for the Layman: No Math Added by Annalyn Ng and Kenneth Soo

This book can be the answer to the question “Can Data Analytics be self-taught?“. Learning data science is made easy using the information presented in this book. Any person can understand the information presented in the book as it is written for laymen.  Purchasers also get an opportunity to access real-world applications and how data science works. The authors have ensured to include intuitive visuals and explanations.

Popular Concepts 

  • A/B Testing
  • Anomaly Detection
  • Association Rules
  • Clustering
  •  Random Forests and Decision Trees
  • Regression Analysis
  • Social Network Analysis
  • Neural Networks

Features

  • Intuitive visuals and explanations
  • Illustration of algorithms through real-world applications
  • Chapters with point summaries at the end
  • Comparison between the pros & cons of algorithms with the use of reference sheets
  • Glossary to allow users clearly understand the subject.

Python for Everybody: Exploring Data in Python 3 by Dr. Charles Russell Severance

“Python for Everybody” is written for introducing students to software development and programming. Python is a language that allows solving data problems that cannot be fixed by the use of spreadsheets. This programming language is easier to learn and use. It is available on Windows, Macintosh, or Linux computers. Reading this book will eliminate the need to purchase separate software to learn Python. The best facility available for the buyers of this book is access to it in different formats. Individuals who own this content are also provided with supporting materials. The presence of a Creative Commons License allows you to educate your own course to others. Are we still talking about books that erase the opportunity to ask, “Can Data Analytics be self-taught?”.

Recommended Reads:

Big Data: A Revolution That Will Transform How We Live, Work, and Think by Kenneth Cukier and Viktor Mayer-Schönberger

 Are you into exploring the latest trends in technology? If yes, this written bunch of papers is the right choice for you. It will also explain how those trends impact science, society, and the economy. Big data is used for delivering answers to a range of questions like “how Google predicts the spread of covid?”. It is useful to make conclusions through data analysis. Emerging science can translate many phenomena. – from the cost of flight tickets to data in millions of books. Our perception about health, politics, business, innovation, and education will be changed in the future by the revolution in the big data posted on the printing press or the internet. That being said, big data can also pose threats to our lives due to the absence of privacy in the years to come. The two experts know and share everything about big data including its meaning, advantages, disadvantages, and scope in this book. 

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking by Foster Provost and Tom Fawcett

It is considered a tool that aids ‘data-analytic thinking’ to extract useful business value and knowledge from the selected data. As a reader, you will also gain an understanding of currently used data mining techniques. 

Mr. Provost had helped many students at New York University in understanding the “Data Science for Business” subject as a part of the MBA program for more than a decade. He illustrated the principles of the topic by solving real-world business problems. A learner has an excellent opportunity to acquire and improve the connection between data scientists and business stakeholders. Not just that, he will also learn to intelligently participate in a company’s projects and data science. You will acquire the skill of analytical thinking and utilize data science methods for decision-making. 

Learn more:

This Book Will Allow You to

  • Seek the meaning of data science in an organization and its use for gaining a competitive edge in the market.
  • Learn the use of data as a business asset and gain real value for careful investment decisions.
  • Utilize analytical approach to business problems with the help of data mining process for the collection of data.
  • Acquire knowledge about general concepts to extract insights from data.
  • Make use of data science principles to conduct or attend data science interviews.

Youtube Channels to Learn Data Analytics

Since we are discussing answers to “Can Data Analytics be self-taught?”. Let’s talk about video content that allows the viewer to learn the related concepts on his own. 

  • freeCodeCamp
  • Simplilearn
  • Edureka:
  • Krish Naik
  • Intellipaat

freeCodeCamp:

This educational channel was started in the year 2014. Over 8 million subscribers are loyal to it. The tutors of the freeCodeCamp teach a variety of subjects. The content includes basic, intermediate, and advanced concepts of the chosen domain. For example, “Modern Python GUI design, Machine Learning for Everybody, JavaScript in 3 hours, and Statistics – A Full University Course on Data Science Basics” are explained by online teachers. 

“Data Analysis with Python Course, Data Analysis with Python for Excel Users – Full Course, SPSS for Beginners – Full Course, and Data Analysis with Python – Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn)” are some of the top data analytics courses available on their channel. The best part about the YouTube channel is you are free to access the videos and find more career-linked content for your job purpose. 

Simplilearn:

Simplilearn entered the YouTube industry in the year 2009. More than 3 million subscribers are benefiting from the channel. It offers many tutorials on data analytics-linked courses. One of the main reasons for students to choose Simplilearn is its programming language section where many tutorials are posted to help programming language enthusiasts gain more knowledge on the subject. 

Can Data Analytics be self-taught? Absolutely. Simplilearn Is one of the best channels that will allow you to learn data analytics concepts on your own. Some of the popular and knowledgeable data analytics tutorials offered by it are “Data Analyst | Data Analyst Course | Data Analytics | Data Analytics Full Course– 10 hours, Excel Data Analytics Full Course– 4 hours, Data Analytics Full Course 2023 | Data Analytics For Beginners– 10 hours, Data Analytics Using Excel Full Course 2023– 12 hours, and Data Analytics Using Python And SQL 2023– 10 hours”. 

Recommend Read,

Edureka:

Edureka’s video on Big Data is a famous one that attracted many views. The instructors’ ways to teach the subject in the simplest way made the channel one of the best YouTube channels in the world. The use of visual representation. to break down concepts is its way of enlightening its subscribers.  Over 3.5 million individuals have decided to learn data analytics and other domain concepts from Edureka. 

Edureka‘s main teaching domains are Data Science, Programming tutorials, and Machine Learning, Cloud. A few of the popular data analytics-related tutorials on Edureka are “Data Analytics For Beginners– 51 minutes, What Is Big Data Analytics & Why It Is Important– 1 hour, Data Analytics with R Tutorial Videos– 18 Videos Set, SAS Tutorials For Beginners | SAS Training | SAS Tutorial For Data Analysis– 57 minutes, Data Analysis using Excel Tutorial For Beginners– 57 minutes, and Python Pandas Tutorial | Data Analysis with Python Pandas– 1 hour”.

Krish Naik:

Many data science aspirants are taking the help of Krish Naik‘s videos to fulfill their passions, His way of explaining concepts and sharing required links for study materials has made him very famous among others. 

He identified his passion for helping potential data scientists and data analysts in 2012, the year in which he launched his own YouTube channel. More than 780k future data scientists are following his content on Youtube. He created videos on various topics of data science like Feature engineering, Statistics, SQL, Computer Vision, and Linear Algebra.

There are many of his videos where he explained practical concepts for the benefit of online students. If you are keen on responding with a yes to “Can Data Analytics, be self-taught?”, check out the playlist called ‘Exploratory Data Analysis. 

Intellipaat:

It is a YouTube channel that started in the year 2013. Currently, it has around 6.5 million subscribers. It is one of the leading education providers that share training content on digital platforms. It offers a range of certification programs to the learners. Artificial Intelligence and Data Science are two popular domains on its platform among 150 trending technologies. 

Students who follow the updates on data science on the Intellipaat channel will develop the ability to make the right career decisions for themselves. Best trainers are hired to assist students in learning and acquiring the required data science skills and knowledge. Intellipaat in general is known to offer programs for corporations as well.  If you ever said no to “Can Data Analytics, be self-taught?”, go through the below content of Intellipaat

  • Data Analytics for Beginners– 4 hours
  • Data Analytics In Excel Full Course– 10 hours
  • Data Analytics Course– 5 hours
  • Data Analyst Course | Data Analytics Course | Data Analytics Training– 10 hours
  • Data Analyst Interview Questions and Answers– 52 minutes
  • Data Analytics with Python– 7 hours

Also Read,

Online Institutes Offering Data Analytics Courses.

One of the best ways to learn data analytics on your own is by watching videos followed by completing exercises that help you check your knowledge and skill levels. Though many digital and traditional colleges require your attendance for classes, some of them offer access to recorded sessions. On the other hand, there are purely digital institutes that do not require your attendance at all. All you have to do is utilize such mediums and start loving self-paced content. The good thing about such entities is that they even issue certificates of completion that will help you get a job in the future. All you have to do is select reliable entities like the below entities and courses.

  • IIM SKILLS
  • Udemy
  • Udacity

IIM SKILLS:

IIM SKILLS is an education provider that mostly offers courses via an online platform.  Many learners choose it to learn skills and knowledge at their convenience. The data analytics program available at IIM SKILLS is called Data Analytics Course.

Course Modules:

Module NameImportant Topic
Module 1: Basic and Advance Excel
Introduction to Data Handling
Data Manipulation Using Functions
Data Analysis and Reporting
Data Visualization in Excel
Overview of Dashboards
Module 2: Visual Basic Application
Introducing VBA
How VBA Works with Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions & Procedures in VBA
Objects & Memory Management in VBA
Error Handling
Controlling Accessibility of Your Code
Communicating with Your Users
Module 3: SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
Accessing Data from Multiple Tables Using SELECT
Optimizing Your Work
Module 3.1: SQL Server Reporting Services
Basics of SSRS
Creating Parameters
Understanding Visualization
Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services
Understanding Basics of SSIS
Understanding Packages
Creating Packages to Integrate
Creating Project Using SSIS
Module 4: Power BI
Introduction
Data Preparation and Modeling
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics & Data Science
Python Essentials (Core)
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
Data Analysis Using Python
Data Visualization with Python
Statistical Methods & Hypothesis Testing
Module 6: Tableau
Getting Started
Data Handling & Summaries
Reports Development (Visuals in Tableau)
Module 7: R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Using R with Databases
Data Visualization with R
Introduction to Statistics
Linear Regression: Solving Regression Problems
Module 8: Alteryx
Overview of the Alteryx Course and Fundamental Concepts
Using the Select Tool to Rename Fields, Change the Data Type
Understanding the User Environment and Alteryx Settings
Filtering Data/Data Processing
Blending/Joining Data from Different Sources
Data Cleansing
Impute Values
Random Sample

 

It covers 9 core modules; data analytics with Advance Excel, VBA, SQL, Power BI, Python, alteryx, and Tableau, The remaining module is the use of R for data science.

The duration of the course is 6 months and the student has the opportunity to serve a company as an intern for two months.

Fees: ₹ 49,900 + Taxes.

Professional Courses from IIM SKILLS

Contact: +919580740740, [email protected]

Udemy:

Udemy is a well-known international learning platform that offers courses in different domains and many languages. Its bestselling data analytics course is “Data Analysis with Pandas and Python”. This is a program available to all interested candidates. The students will learn the below content from the course. 

  • Introduction to dataframes
  • Filtering data in dataframes
  • work with the use of text data
  • MultiIndex
  • GroupBy Project
  • Joining, concatenating, and merging dataframes
  • Work involving times and dates in datasets.
  • Output and input in pandas
  • Visualization
  • Settings and options in pandas

Duration: self-paced

Price: ₹649

Udacity:

Udacity is an educational entity that is determined to provide high-quality training to potential data analysts. Its most purchased course is “How to Become a Data Analyst”. Individuals who choose this program will learn concepts related to statistics, python, and SQL. They will also develop the skill of deriving insights from data sets and communicating critical findings with the company’s management. The course curriculum includes the basics of data analysis, advanced data wrangling, and data visualization with Seaborn and Matplotlib. Career services, student services, and class content like real-world projects, project reviews, and feedback on the delivery of projects from experienced reviewers are part of course facilities. 

Duration: 3 months

Conclusion on Can Data Analytics Be Self-Taught

Many students and data professionals are lost in forming an answer to “Can Data Analytics be self-taught?”. This is a cause of poor awareness of resources that help learners acquire knowledge on data analytics basics is what makes anyone feel lost. Bid bye to those days because many valuable books, YouTube channels, and digital training centers are accessible to learners. All a curious learner has to do is pick the right sources like below.

Books to Learn Data Analytics

  • Data Analytics Made Accessible by Anil Maheshwari
  • Numsense! Data Science for the Layman: No Math Added by Annalyn Ng and Kenneth Soo
  • Python for Everybody: Exploring Data in Python 3 by Dr. Charles Russell Severance
  • Big Data: A Revolution That Will Transform How We Live, Work, and Think by Kenneth Cukier and Viktor Mayer-Schönberger
  • Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking by Foster Provost and Tom Fawcett

Youtube Channels to Learn Data Analytics

  • freeCodeCamp
  • Simplilearn
  • Edureka:
  • Krish Naik
  • Intellipaat

Online Institutes Offering Data Analytics Courses

  • IIM SKILLS – Data Analytics Master Course
  • Udemy – Data Analysis with Pandas and Python
  • Udacity – How to Become a Data Analyst

FAQs on whether Can Data Analytics Be Self-Taught

Q. Can Data Analytics be self-taught?

Yes, you have the freedom to choose books, YouTube channels, and online training centers to learn data analytics. There won’t be a need for a tutor to take classes as per a fixed schedule. This also means you can acquire knowledge about data analytics from the chosen resource at your own convenience. 

Q. Are there any books that can help me learn data analytics and related concepts?

Yes, experts from the industry have written and published several books on data analytics. 

  • Data Analytics Made Accessible by Anil Maheshwari
  • Numsense! Data Science for the Layman: No Math Added by Annalyn Ng and Kenneth Soo
  • Python for Everybody: Exploring Data in Python 3 by Dr. Charles Russell Severance
  • Big Data: A Revolution That Will Transform How We Live, Work, and Think by Kenneth Cukier and Viktor Mayer-Schönberger
  • Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking by Foster Provost and Tom Fawcett

The above list of paper/digital content is suitable for any aspiring data scientist’s learning needs. 

Q. Is there an online training institute that provides both instructor-led training and access to study material and recorded sessions?

Yes, IIM SKILLS is an educational institute that not only offers training on data analytics by highly experienced tutors but also provides students with access to a learning management system where recorded sessions are uploaded. 

 

Anuja Maniyala is a intern at IIM SKILLS. She worked as a creative content writer for AADOX and Quoteslyfe in the past. She has identified her passion for writing after working as a banker in some well-known companies like Wipro and HSBC. Her current target is to become an author of a unique and creative self-help book. Her enthusiasm and curiosity to learn about the human mind and behavior makes her different from the rest of the world.

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