After reviewing 50+ online Data Analysis courses and tutorials on Python, I built this ultimate list of the top 16 free and certified courses for beginners.
Course Provider: Organization
Course Provider Name: DataCamp
Course Provider URL: https://www.datacamp.com/tracks/data-manipulation-with-python?tap_a=5644-dce66f&tap_s=1352853-117e8d&utm_medium=affiliate&utm_source=smfahim
Tons of courses on Data Analysis out there, but unsure about where to spend your time to make the best use of your time and money? Or maybe looking for the best FREE courses on Data Analysis topics?
I’ve analyzed around 50 courses and tutorials on Data Analysis with Python that people are talking about on Reddit, Quora, and Facebook groups; most enrolled courses on top platforms like Coursera, EdX, Udemy, DataCamp, LinkedIn Learning; and most viewed tutorials on YouTube.
After analyzing them, I created this list of The Best 16 Data Analysis Courses and Tutorials of 2021 that you should know about. I took the courses that I didn’t take earlier and ranked them according to their quality and completeness.
The main topics covered in these Data Analysis courses are Numpy, Pandas, and SciPy. As you must need Data Visualization skills to get the best out of Data Analysis, the Matplotlib and Seaborn topics were also considered, mostly Matplotlib.
You’ll find some complete courses on Data Science, as I’ve discussed in Top Data Science Courses On The Internet in Python and R 2021. But I love to take courses that are dedicated to smaller topics, because they dive very deep into each topic, and contain lots of practice problems and projects.
I couldn’t make this list of the Best Resources for Data Analysis any shorter because of the quality and uniqueness each serves. This is my ultimate list. Just take the ones you find best suits you. If you still can’t decide, take a look at the special recommendation section at the end of the article.
One thing you should know is that the official documentation is your best buddies after you’ve taken these courses and want to dive even deeper. Here are the documentations:
At first, this course seemed very plain to me. But then it started throwing lots of methods and examples that will help to build you a strong base on numpy. The best thing about this course is that the instructor explains the numpy methods by showing you the official documentation.
This way, you better understand why something works while others don’t. On the other hand, this is helpful for absolute beginners who don’t have experience in learning from the documentation.
This is an amazing course to learn numpy for Data Analysis because of the bunch of real-world case studies it offers and the huge number of practice problems after each video tutorial.
I recently solved a project problem for a client where the project was very similar to one of the case studies discussed here. So this course surely contains some real-world values! Note that to participate in the case studies, you must purchase the course.
The course instructor is a Google engineer and the course content is really satisfactory. It felt like a premium YouTube tutorial, to be honest. Because there’s no quiz or project that you can attend to sharpen your understanding. You surely will get some new aspects of data analysis, so it won’t be a waste of money.
extremely thorough & comprehensive. it is obvious that a lot of care and attention has gone into the preparation of the course and material. good, prompt, support to any questions raised as well.- Douglas Smith
This course is a gem for Data Analysis with Pandas. The only thing you may dislike is the accent of the instructor. Other than that, contains a huge amount of information. Although the main focus is Pandas library, the instructor spent a lot of time making it the perfect course. Covers all the prerequisites and also follows some Machine Learning topics to add some extra spice.
Although this course seems a complete course to Data Analytics, still, you’ve to take different courses on other topics. Because, the course surely dives deep into Pandas and serves necessary knowledge to cope up with the flow, but it’s not possible to cover those extra topics within a few hours of lectures.
Fantastic class for someone coming in with no experience in pandas. I was able to utilize what I was learning as I went (along with my best friend google) to solve a business problem at work.- Philip Higgins
This is the most enrolled and a bestseller course for Data Analysis with Pandas on Udemy. It ties with the previous course in my view except that it is a bit older. The course quality is amazing, so is the instructor. This course is more engaging than the previous one. Instead of adding a bunch of topics to make the course more appealing, the instructor focused more on the best practices of using pandas.
DataCamp has a different approach to Data Analysis. This course builds the foundation and then proceeds to the main skill track listed below. A huge number of practice problems build a strong foundation in the Pandas library. The content quality is the best till now. Best pandas tutorial for beginners who like learning by doing.
This skill track is one of my favorites from DataCamp. Anyone who loves learning by doing, this is the best choice for you. They provide some cheat sheets that consist of all the methods you may need in different types of problems. In fact, these cheat sheets are very popular. Also, you’ll have lecture slides as PDFs which will be very helpful when you complete the skill track but can’t remember anything.
You must take this skill track after the previous course. I think this is the best value for money. One thing to keep in mind, don’t rush! The practice problems are mostly self-explanatory, so you may complete them quickly to earn a certificate. Don’t do that! In fact, try to start over all the practice problems once you finish the skill track, without watching the videos again.
I liked the data extraction part the most. These are the most common ways you’ll be collecting data. You’ll also be using Git for updating your projects. Similarly, the Machine Learning models for the data analysis part was very detailed. A couple of uniqueness of this course is using Git and Kaggle. So this course should be a good choice for you.
To get the best out of this course, make sure to practice them by yourself as most of the lab problems are self-explanatory. And there are some typos, ignore them. Otherwise, this course offers a lot of practical approaches. Especially, the Model Development week and the Model Evaluation week will be very helpful for you. A little bit of statistics knowledge is recommended.
excellent course, very good explanation and walk through the courses and mini-projects.- Bouredja Amine
This is another very promising course on Data Analysis. The instructions are very detailed and in-depth! Though you might want to watch it at 1.5X speed. The course contains some prerequisites sections on Python programming, numpy library, data visualization with Matplotlib, though very basic, but helpful to continue the course. Worth trying it out.
This course is kind of the same quality as the numpy course discussed at the top. But with lots of quality and detailed courses on Pandas data analysis, this course couldn’t outperform others like the numpy course. Still, I’m listing it here because it contains enough knowledge to start working with data analysis. If you enroll in both the numpy course and this one, then it will be value for money.
Simple yet very organized, and elegant Data Analysis project. I really liked it!- Salih K
Guided project is a relatively new topic on Coursera. It’s a project focusing on only one major topic, and shows how exactly you need to solve that problem. On your browser, there will be a split-screen. In one section, you will write and run your code, on the other section, the instructor will show you the steps. Note that the instructions are pre-recorded video, not live.
The best thing about guided projects is that you work in exactly the same environment as the instructor. And the project is focused on one topic. This one is a good practice project once you’ve taken any of the detailed courses listed above.
Keith Galli is relatively a new YouTuber and I have been following him since his <10k subs. He created some valuable tutorials. I have some pretty good feelings about this channel!
This 1-hour tutorial contains the numpy basics with some engaging examples. In fact, it has been uploaded to FreeCodeCamp for the quality he created! The best YouTube tutorial for those who want to explore the numpy library.
Corey Schafer, a very famous Python Instructor on YouTube, created this amazing detailed tutorial on Data Analysis with Pandas tutorial series. If only the Pandas section is taken under consideration, this tutorial playlist might be one of the best 5 courses of this article. The only downside is the lack of practice problems or projects, which is common for all YouTube tutorials.
This is the only course or tutorial I could find that focuses only on the SciPy library and worth listing here. It’s just the basics of the SciPy library. So after completing this tutorial, you should start reading the official documentation of the SciPy library.
There are very few tutorials on SciPy, and none of them is as detailed as I want. You may keep an eye on my programming website Machine Learning Wiki, where I will be writing about SciPy soon.
FreeCodeCamp brings premium courses for free for everyone to use. This course briefly contains almost all the topics of Data Analysis. So this is the best tutorial for exploring the field! Make sure to use the jupyter notebooks to get the best out of this tutorial.
As I’ve listed the best 16 online courses for Data Analysis, and each of them is better than the others, it might be confusing for you to choose where to spend your valuable time. Here are some suggestions from my experience assuming you’re a complete beginner in Data Analysis:
If you’ve any better suggestions for Data Analysis courses than mine, feel free to contact me and I’ll update the list after reviewing.
By far, the best data analysis course on Coursera is Data Analysis with Python by IBM. It does not only teach data analysis models but also how to evaluate and refine the models
Data Analysis with Python by FreeCodeCamp on YouTube is the best free Data Analysis course. It briefly contains almost all the topics you need to learn. Best for those who want to explore the field.
When I planned to learn Data Science, I was so confused about which are the best Data Science courses and in what order I should take them. So I started enrolling in courses and also leaving them in the middle when I found I’m not ready for that course yet. It took a while to cope up with the topics and to find the best courses.
In this article, I’ll be sharing with you the best Data Science courses on the internet right now and in both tracks, Python and R language. To make this list, I spent a week reading articles like “my journey to data science”, joining discussions on Reddit, exploring the top course platforms, and analyzing them with my own experience.
After analyzing around 35 famous Data Science courses, I made this shortlist for my well-wishers. The ranking has been done based on completeness and quality. You don’t have to take all of the courses listed below. Find the best one/s for you, or read my special recommendation section to help you decide.
Let’s dive into each of them and analyze their quality and completeness.
Our business has data at its core. In a competitive marketplace, we have a growing need for employees trained in the critical field of data science with strong analytical skills. The MITx MicroMasters in Statistics and Data Science provides an excellent opportunity for learners to have rigorous training in statistics, data analysis, and machine learning and to develop the skills necessary to be competitive in a world increasingly shaped by data.Joseph Logue, Executive Vice President, Booz Allen Hamilton
MITx Micromasters Program in Statistics and Data Science is my best choice in this review list. A bit of previous knowledge in every major topic will be very helpful for you. And if you keep digging into each topic after you've taken a class, this program will be the only one you should take before diving into your projects.
Just one thing to keep in mind when you’re taking this MicroMaster's program, don’t rush and spend as much time as you can! The course might get a bit difficult for you sometimes. But be active in the community, use Google if something is not clear to you, and solve the problems on your own. At least this is how I proceed. It will take time, but you can finish it properly within 6 months.
Why do I consider it to be the top one? If you’ve already taken some Data Science courses, just look at their syllabus. How complete it is! It has got everything from start to finish. Although you won’t find any end while learning, this program gives you everything you need to proceed. This is worth it!
Excellent starting course on machine learning. Beats any of the so-called programming books on ML. Highly recommend this as a starting point for anyone wishing to be an ML programmer or data scientist.Murali N
This is the best course to learn the theory and mathematics behind Machine Learning and Data Science. Although it’s a bit old course, there’s still no course made as simple and complete on theories as it is. Almost anyone you find learning Data Science or Machine Learning for a while has already taken this course.
The only drawback of this course is that it’s taught in MatLab, instead of Python or R. That’s why I keep saying it’s the best for theories. Instead of updating this course in Python, Andrew Ng and his team are focusing on launching new and updated courses on various topics of Deep Learning. If you’re interested, take the Deep Learning AI Specialization after this course.
This skill track by DataCamp is best suited for beginners. It’s so engaging and easy that you’ll start loving the platform. Although I missed 2 things on DataCamp. They don’t go that much deep into Data Science, and they don’t have a community. So you might need to take more than 1 skill track to master the topic. Still, I love the platform and would highly recommend you if you’re just starting out.
Mitchell International highly values professionals with proficiency in Data Science and recognizes the need for more individuals to obtain this knowledge and skill set. It is my belief that a candidate credentialed through the edX MicroMasters program in Data Science would have a marked advantage for the following positions in Mitchell International: Business Systems Analyst, Data Analyst, Data Scientist, Data Informatics Analyst, Machine Learning Engineer.Erez Nir , SVP and CTO, Mitchell International
I consider this MicroMasters program as an alternative to the first one in the list, the MicroMasters® Program in Statistics and Data Science by MITx. The main focus of this program is the course Big Data Analytics Using Spark. The program starts with Python programming, then proceeds to Statistics and Probability with Python. Next talks about the models in Machine Learning. Finally jumps into working with Big Data.
The program details might look minimal to you, but once you start it, you’ll see how broad it is. I recommend this to those who are mostly interested in working with Big Data. But I personally like taking the MicroMasters® Program in Statistics and Data Science by MITx, and then taking only the last course of this program which is Big Data Analytics Using Spark.
I enjoyed the Data Scientist Nanodegree. I especially like the portfolio projects. They are sufficiently challenging, but they come with helpful instructions so that I can actually finish them and put them on my resume. The GitHub and LinkedIn review requirements also pushed me to polish my online presence. I am a lot more confident to look for a data scientist position than I was four months ago.Ying G.
There’s one thing I highly like and one thing I highly dislike about the NanoDegree. The program costs a lot, but still, it has a big list of prerequisites. If I’m spending more than $500, I’d expect it to be a complete program. I’m okay if it takes more than a year to complete, but when the program is a complete bundle, it contains a reliable flow.
On the other hand, I like how it truly prepares for the industry. To become a Data Scientist takes a lot of effort. So instead of stacking lots of courses at once, they focused only on preparing you for a job with some challenging projects. Still, if it was a zero to hero program, I’d rank it as number 1 or 2 on the list.
This professional certificate program serves a wide range of knowledge. The projects give a real-life problem-solving feel. I just missed one thing in this certification, there’s no course on the mathematics required for Data Science. Maybe that’s because Coursera has an outstanding specialization, Mathematics for Machine Learning by Imperial College London.
You might find the first part of the course not that engaging. But if you stick to it, you definitely will get some unique knowledge and experience. The same program is on EdX, Professional Certificate in IBM Data Science. But the one on Coursera is relatively cheaper.
Very informative, fun to get through, learned a lot about the basics of what I'll be diving into more. There's a lot more to learn but this was a good foundation.Kyler Gould
I recommend this course to those who are just starting with Data Science or Machine Learning, and not sure about whether it is really a good field for them. You’ll only have the foundational knowledge of most sectors you need to master to truly become a Data Scientist. I really missed the data visualization part.
Unfortunately, this is the best Data Science course on Udemy, and lots of reviewers say it will make you a Data Scientist, which is a lie. Just build your foundation with it, and then grab one of the top programs stated above. This will help you understand those courses very easily. So it’s worth trying for absolute beginners.
The amount of topics covered in this course is very good. This course is very good for someone to get knowledge of data science. The only thing this course is missing is the theoretical explanation of various concepts.Jashan Uppal
This course is an alternative to the previous one. It fills the gap of the previous course. It focuses a lot on Data Manipulation and Visualization. And also includes topics like NLP and Big Data, which are very popular in the industry.
However, the course does not have any section for the mathematics behind Data Science. So you’ll miss a major section of Data Science. This is the top-rated course on Udemy, still, it will only serve you the basic idea of the DS field. But if you’re familiar with Probability, Statistics, and Linear Algebra, and you want to explore the Data Science field, the course is worth the price.
I like this specialization because it focuses on text manipulation a lot. And the Social Network Analysis course is a unique one and you’ll like it. I recommend this course if you have some previous Python and Statistics knowledge, and the Social Network Analysis course attracts you.
This is my top pick for Data Science courses in the R programming track. It has everything starting from programming, data manipulation, visualization, mathematics, machine learning models, and ending with a capstone project. This is the most popular program among Data Science enthusiasts with an R track.
You might have already noticed that I like the programs that are complete with resources and well structured. The Data Science Specialization by John Hopkins on Coursera is one of them. It’s huge, well structured, full of knowledge, quizzes, and projects. On top of that, it offers some unique practical knowledge as stated above. This specialization will definitely help you in your professional life. However, I wanted more topics in Machine Learning.
This skill track is best suited for absolute beginners. It’s so engaging and has a huge amount of practice problems. I like everything it offers. But unfortunately, it does not offer everything you need. For example, it does not cover the mathematics behind Data Science. And it covers only the most important topics of Machine Learning. The track will take you from absolute beginner to intermediate learner, and you’ll have enough knowledge to start working on your own projects.
The best thing about this course is that it includes NLP and Neural Nets. You’ll easily grasp the R programming part of the course, but it will become a bit tough for the Machine Learning section if you’re not already familiar with Probability and Statistics. Well, you can learn them from other places, but I would rank this course 1 or 2 only if there was enough explanation of the NLP and Neural Nets topics.
I tried my best to present to you the top data science courses that you should care about. You don’t have to take all of them. I suggest taking 2 to 3 courses from the list for the best outcome. Here’s a more specific suggestion for you.
If you have any suggestions, let me know. I’ll try to update this list for The Best Data Science Courses On The Internet In Python And R!
It's tough to declare a course or a program to be the best on the internet. After analyzing around 35 online courses, I believe MicroMasters® Program in Statistics and Data Science by MIT on EdX is the most complete course set.
It's undoubtedly the Machine Learning course by Andrew Ng on Coursera. Although the course is on MatLab, Andrew Ng still teaches the Machine Learning theories better than anyone.
If you want to get some value from any online Data Science course certificate, then MicroMasters® Program in Statistics and Data Science by MIT on EdX is your best choice to go for. This is considered to be around 20% to 30% of total credits in Master’s programs at many well-known universities.
After the Corona Pandemic, you might have experienced the importance of Data Science and Machine Learning the most! Its demand is increasing day by day. Data is money in 2021!
2 things you must know. One, if you're a boss of a company, will you hire someone based on how many certificate they have? I'm sure you'll look for the skill. Secondly, it's easy to skip the course materials and submit others course work to get a certificate. So ignore the certificate thing, don't deceive yourself, and get the knowledge from the courses and build your skill.
It's like cooking foods without fire! You will get done a lot of your works, but not enough to actually play with the data and get the best use of it. Just learn the basics of Probability and Statistics, and you'll be very comfortable with Data Science.
The list contains only the top data science courses that you should care about. They are the best in both Python and R skill tracks. MIT offers the most complete and best quality Data Science program.
Course Provider: Organization
Course Provider Name: MicroMasters® Program in Statistics and Data Science by MIT on EdX
Course Provider URL: https://www.edx.org/micromasters/mitx-statistics-and-data-science
C++ is an extension of the C programming language that can be used to create high-performance applications like Adobe Photoshop and more! C++ has a very rich library that allows you to do things that are not possible in C.
Have you already had a sneak peek inside the wonderful world of C++ and now you want to learn to code in C++? But not sure which one you should spend your money on without any regret? Fear no more cause you’re in the right place! Here's our ultimate guide for you to choose from an abundance of C++ courses on the internet that are worth your time and money!
In this detailed article, you’ll get to know every bit of information about the top 10 C++ courses to help you find the C++ course that suits you best!
Now, let's dive into each of them and see which one best suits you.
This course is a high-level C++ learning experience. Projects are really interesting and recent. But they are also challenging and extensive. I really enjoy this course and would recommend it to anyone. After updating my job profile with this course/certificate I got many project requests from companies. There are lots of jobs with C++ development- Ramil K.
If you’re already acquainted with programming & looking for job opportunities, then this could be a great course to spend your money on. This course aims at turning software engineers into C++ developers. In this course, you’ll learn C++ with 5 real-world projects. Along with a personalized learning program from 2 great instructors, you’ll get access to a bunch of services to help you prepare for your job as a C++ developer and more!
After completing this course you’ll have a comprehensive knowledge about-
“Excellent course, well explained with good examples and practice assignments. It goes into too much greater depth than most beginners' courses without pushing you through too fast. Ideal for anyone new to C++ or coming from another language like myself.”-Jeremy Harwood
If you’re someone who’s looking for some great career opportunities by learning one of the most popular and consistently in-demand programming languages, then this is an ideal course for you. If you’re new to coding but fascinated by the beauty of C++, this course can be a great choice for you too. We believe, with this course your programming journey will be a great one and like all those 100,000+ students you won’t have to regret your decision.
One reason I love Pluralsight training is how they curate similar courses on a subject into a learning path. The diversity of content delivery & repetition of salient points by the SMEs helps to make the learning process efficient and more memorable. Kudos to the team.-Kayode Omotoye
If you want your C++ programming skills to strengthen from the roots, then this course is perfect for you. Another great thing about Pluralsight is that you’ll be able to get access to a bunch of great courses by paying a very little subscription fee each month. After completing the whole course, you’ll be able to take maximum advantage of coding in C++.
I would like to say; this course is amazing if you have a mind that rejects anything unless a logical reason or underlying structure being presented to you. There are instructors who will basically say "this is such and such, just accept the way it is" and Professor Abdul Bari is definitely not one of them. This is a great introduction to C++ and programming in general. Detailed, but even you being into these abstract concepts in such a manner is priceless.- Ahmet Fırat Kestekoğlu
Abdul Bari is a highly reviewed and very popular course instructor when it comes to explaining in a detailed and logical manner. Anyone who tried this course loved how the instructor explained everything on the whiteboard. Like all the other thousands of students who put their trust in this course and were satisfied, we believe if you’re a beginner who’s in need of a deeper and logical understanding of each topic, this course will be perfect for you.
As an absolute beginner, I learned a lot and I am ready to learn from more complex resources now. Most of the course explains every step in great detail with lots of challenges, but towards the end, it becomes a lot of "just write what I write, and it will work" with little explanation of why that is. I would definitely recommend this course to anyone who wants to learn to use C++ in an unreal engine.-Isabella Christiansen
If you’d like to make video games or choose game development as a career, then this will be a great choice for you. One of the best things about this course is that they update their course based on mass reviews and as it’s lifetime access, you’ll get to use all the future materials for free. This course has gained huge popularity since its launch so needless to say a great number of people were benefited from this course regardless of having very little to no coding experience at all. So, we’d say if you’re interested in game development and you have no prior knowledge of coding then go ahead and enroll in this “crowd-favorite" course.
People have been highly benefited through this well explained course by Bill Weinman, an expert in programming languages like C++ and python. This course covers the basic concepts of C++ along with advanced concepts like STL. This course will help you get a solid grip on the basics of C++. If you’re a new student, then you can go ahead and use your free one-month trial to give this course a try!
In this course you’ll learn about,
“Before taking this course, I was a bit scared of C++, but the instructor was very good in his explanations and got me engaged.
I am now ready to take on more advanced C++.”-Kalenshi Katebe
Like Kalenshi Katebe, if you’re afraid to code in C++ then this course might be a great choice for you! Why? Because it covers all the basics of C++ in a simple yet descriptive way and on top of that, it’s free of cost! So, you won’t have to worry about your money going in vain. So, if you are a beginner, if you want to strengthen your basic knowledge of C++ then go ahead and give this free course a try!
Really great course, maybe the best one on programming I've ever had. Many many explanations down the road, many questions I would have asked are posed and answered in the Q&A section. I sincerely recommend it-Tobiasz BAJEK
If you have already done John Purcell’s previous course C++ Tutorial for Complete Beginners, then this one will be a great choice for you. Another great thing about this course is that as you’ll have deepened your basic C++ knowledge, so you’ll be able to apply for jobs as a C++ developer.
I know from first-hand experience that you can go in knowing zero, nothing, and just get a grasp on everything as you go and start building right away.-Madelyn
Codecademy is a great place to learn to code. They keep it simple yet interesting and easy to learn. They’ll start with the basics and then advance to more complex things and finally cover everything you need to learn to be
a great C++ developer. You can do the course for free, but you won’t get access to some features like projects or certificate. For that, you’ll have to pay a small amount of the subscription fee. You can check their pricing list if you’re interested.
I consider my decision to learn this course the best one yet! It is an in-depth guide to experience the power of modern C++(C++11) which is still used by giants of the software industry such as Microsoft etc.
I will always be grateful to the University of Santa Cruz and to Coursera for offering such a great program on their platform which not only marks my first ever Certification course but also has led to providing me a successful career in tech.- Dhruv S
Coursera is a great platform for skill development. If you’re already familiar with C, then this course can be a great option for you. This course is filled with loads of quizzes and assignments to test your skills. Another thing about this course is, Coursera acclaims that 17% of learners started a new career after completing this course and 12% of the learners got a tangible career advantage from this course.
If you still can’t decide which one will work best for you then here are our recommendations for you-
Reading books while doing courses can come in real handy if you want to thoroughly master C++. In fact, there are a great number of books for C++ enthusiasts that are too good to miss. We at Course recommend wanting to make your journey with C++ smoother than ever! So here is the list of the top 5 books on C++ with enough details to make things easier for you!
Rating: 4.3/ 5 (Amazon)
This is a great book for anyone learning C++ regardless of their skill level. If you’re doing any C++ course, this book will be a great help for you because of the in-depth explanations of all the topics with tons of examples for a better understanding. If you’re a beginner and you choose to follow only the book, it might be a bit difficult for you to understand some topics. So, we recommend you enroll in a good C++ course along with the book.
Rating: 4.5/5 (Amazon)
This book is written by the creator of C++, Bjarne Stroustrup himself. The book focuses on the basic concepts of C++ in a very comprehensive way. This book contains a wide range of topics with tons of real-world examples, so you can acquire the practical skills of C++ programming. As this book is designed for anyone who doesn’t have any knowledge of coding, it is a great choice for beginners. But it’s not only for beginners. It can be a very good read for intermediate and advanced level programmers too.
This book is the absolute best book for beginning programmers about C++! This book is so good, it is strongly recommended reading if you want a job with Intel. Why, it is all about the author Bjarne Stroustrup, who literally wrote the book on C++. That's right this is the same guy that invented C++ back in the 1970's! A programming language that after 40 years still dominates the computing world (a world where most devices and software are obsolete in only two or three years).-Levi A.
Not only does this book have the advantage of being written by the potentate of code himself. Mr Stroustrup, co-authored this book with a 20 year veteran (literally & figuratively) teacher Lawrence Petersen. This partnership makes the book not just authoritatively informational, but also easily and enjoyably readable. Each concept builds on the previous in a gentle flowing manner. So if you take the time to run the actual source samples, and do the numerous drills, and exercises between these covers you will quickly (and relatively easily) be programming proficiently in C++.
After reading this book, I am a more proficient and better coder. I wish this book had been available twenty years ago! Yes, this is a college textbook for programming. However, the intelligent quality of authoring makes it a genuinely pleasant read. Anyone who works in IT/IS or even just uses a computer professionally will benefit from reading this book. Someone who genuinely wishes to learn how to program (even a language other than C++), should consider beginning with this book!
Rating: 4.6/5 (Amazon)
“Every C++ professional needs a copy of Effective C++. It is an absolute must-read for anyone thinking of doing serious C++ development. If you’ve never read Effective C++ and you think you know everything about C++, think again.”
You’ll find this written on the back cover of the book. And from what we know about this book, it’s no lie! If you want to write codes like a professional, you can’t skip this book. If you are done with the fundamentals of C++, then this could be your next choice of book! But this book does not cover C++ 11 and C++ 14 so you can also try Effective Modern C++: 42 Specific Ways to Improve Your Use of C++11 and C++14 along with this.
I purchased this book after reading reviews like "If you think you know C++, you should try this one." and I gave it a shot. Man, was I surprised! This book does enlighten you on the subtleties you would never have imagined, explains the true purpose of every feature of C++, that you will be compelled to use it the next time you program something big!-Himanshu
In all, I would say if you think you know C++, get this book and you will know you do not know it well enough, not as well enough as Scott Meyers! He breathes C++!
Rating: 4.6/5 (Amazon)
Now, this is a book for advanced level programmers. It is regarded as one of the most important C++ books by Scott Meyers. This book contains concepts such as generic components, reusable design templates for a seamless transition from design to application code. You’ll generate codes that better express the original design’s intention and support the reuse of design structures with minimal recording. You’ll also learn to handle much complex real-world C++ issues and a bunch of powerful concepts that you can’t miss!
This book makes me feel like I know nothing about C++ templates, and I thought I knew a lot. After all I can make STL compliant containers, I can write iterators, I've written several expression template libraries all of which use templates in as complex a way as I thought it was possible. But then I read the chapters on ObjectFactory, AbstractFactory and Smartpointers and I was humbled.-G. Powell
Rating: 4.6/5 (Amazon)
This book contains everything starting from the basics to advanced and complex topics. The 4th edition of this book also covers C++ 11. But this book is not for beginners at all. If you have completed reading all the books stated above, then this book may give you a feeling of wholeness or if you ever want to revise anything this book can be of great help.
An intimate treatise on the essence of C++ by the one who can really do that. Reading through this book I really feel like I'm getting a sense of the language from the roots. This is only something that can be conveyed from a clear sight of the details, history and current development. Let's face it this is a collectors item just because of the timing and the man himself taking the time to keep us all in the loop.-Rob Hughes
If you’re a beginner, you can read C++ Primer- 5th Edition by Josée Lajoie and Stanley B. Lippman or Programming: Principles and Practices Using C++ by Bjarne Stroustrup following any beginner’s course on C++. If you’re already quite experienced, then you can go for the other three books based on your needs and priorities. But we’d say none of these books should be skipped if you want to be perfectly and thoroughly skilled in C++.
C++ can be a bit tough to master. Try to take the best suited course for you along with a book. If you're confused about which course or book to choose, read the final heading of both the section again where we suggested you the best suited ones.