How Can I Professionally Look for PDF Or Slides for Teaching Data?

How can I professionally look for PDF or slides for teaching data science or programming without using Microsoft?

A data science certification course is as demanding as a gold coin. Yes, the hype upon data science courses is now so insane that people are prepared to shell out 3-4 lakhs without even thinking about it. Almost all of the online and offline, Small and large-scale capable learning platforms offer a variety of data science and para-data sciences courses (e.g. AI, Machine learning, Data analytics, business analytics etc.). But not all of those courses are ultimately fruitful. You can find some valuable data science courses from platforms like Simplilearn, Edureka, Learnbay, Udacity, EdX, and Coursera. The first three platforms I mentioned above are recognized for high quality instructor-led full-time data science certification training, while the latter three are recognized for the worthwhile platforms of self-paced learning. Amongst all (self-paced learning courses), the IBM Data Science Professional Certification by Coursera has earned the craziest sales record since the last 2 years. But is this craze really justified!! If you're a novice in the field of data science, this certification could appear interesting and worthwhile. However, suppose you are looking to shift your career towards the field of data science with a significant salary increase and in the very first instance (you must set aside at least one year to take on your career transition training). In that case, This course may not be the ideal choice for you. What is the reason for this? The reasons are as follows. #1 Lack of learning depth. The course is the most thorough way to understand the application in the industry of data science in the shortest amount of time. The course is able to teach the fundamentals of data science. However, it does not provide the depth you require to pursue an ongoing career in data science. It lacks practical aspects and advanced industrial practices of data mining, Machine learning model verifications and deployment. #2 Integrated Data Science projects are not at all credible. The same certificate course is available on three distinct channels. Coursera, EdX, and Skillup. For the first two platforms, you have the capstone option. In the third, the project option isn't accessible. The project in data science you'll be working on is an individual-paced project that follows the instructions and guidelines that are part of the course. This means it's not really an ongoing project that is real-time. #3 Complete ignorance about the ultimate technical basics. The most significant flaw in this course is that it immediately starts with programming but does not provide any instruction on installing your system to support data science or AI learning, including installing and setting up Anaconda Jupyter notebook, GitHub etc. #4 The costing is not justified. The EdX platform provides about six thousand INR courses. The course is available for free, without the certification and project. If you want to get a project or IBM certification in data science, it is necessary to pay an additional fee that is almost the same amount as the EdX course. When you look at the course's components, the learning modules, learning, and the learning aid, this course can be considered to be expensive in a way that is not justified. #5 Too much biased to IBM Watson Studio. The focus of the course is on the use and application of the IBM Watson studio, so other important data science tools are left out of the course. However, at the same t make up a significant element of your overall career in data science, beginning at the beginning of your job as a data scientist at the entry-level. #6 No scopes for active learning. The training is provided through self-paced video recordings. Therefore, you must use either chat or the community forum to answer your question. This kind of resolution can take far too long and can be quite chaotic. Interactive learning is the ultimate key to data science skill earning success. For this aspect, the course’s net worth is zero. #7 There isn't any help with placement. I was astonished that even after you have paid 66,000 INR, you'll not receive any assistance with placement which is a crucial factor in your career change in data science. The above discussion makes it quite clear that for a targeted and passionate data science career switch, neither the content nor the investment is at all merited. Hence, in case you hold such a career target, I would suggest you go with the alternatives instead. My personal recommendation is IBM Certified Learnbay data science courses. The reasons hidden behind such recommendations are as follows. #8 Don’t waste your time in the trash- Learn what your domain needs- With plenty of alternative domain electives, you can customize your learning modules as per your domain experience and industrial demand. At present, available alternatives are Sales management, marketing assessment, Workforce administration, telecom and manufacturing tasks, media and hospitality services, supply chain and e-commerce business, energy domain, etc. Learn through 12+ live MNC projects from different industries. #9 Specific courses for specific candidates- Amazingly tailored courses as per candidates are working and educational background. There are different courses for technical and non-technical pros that get segregated based on years of work experience. For technical pros with 4+ years-long work knowledge, there are further technical electives like the Internet of things, virtual computing, automotive, pro-level DSA, etc. #10 The full scope of active learning- Not a single recorded video-based course you will find throughout the course duration. Each session is live and completely interactive. Just like college classes, ask any doubt and get it resolved instantly during the class. But that doesn't mean later in case of further double you will be left alone. You can reach the instructor directly, also get 1 to 1 doubt resolving sessions at the stop point of each sub-modules. Non-programer gets special classes for free. #11 Time-bound learning with the better assurance of successful career switch- As you hold a time boundness to complete the course, you learn everything on time and with the greatest level of outcomes. This helps you get your first data science job with an appropriate salary hike on time. With longer learning time, your earned skill may get obsolete when approaching the interview phase. #12 Packed up with the ultimate project experience- Every single capstone project you do is fresh. Learnbay instructors and associated industry experts highly appreciate your coming up with your own idea. Yes, you will get complete support to execute the same in the proper manner. And yes, there are no scopes for a random project. All the projects are solely dedicated to candidate domain needs. #13 The strict and flexible ambience- learning environment is strictly in the scene of project submission, assignment submission, only live classes and feedback. But the course offers adequate flexibility to choose learning time. With 2 years of yielding subscription live class attendance irrespective of the batch, boundness helps the working pros sigh relief. No fear of leaving the course incomplete. #14 Pocket-cordial courses backed up with true placement support- The courses offered by Learnbay do not exceed the INR limit of 80K. The job assistance support is also unbelievably custom fit with in-person mock interview training, resume designing, project portfolio management, and MNC job referrals. All the services you get at free of cost till you get a job. Hope my answer helps. Thanks for reading. [A minor tip. If you are in need of individualized career guidance for your career shift in data science, You can seek expert career counselling. Check out the official website of Learnbay for similar reasons. But, in the case of freshers who are completely new to the same, it's best to go to Learnbay. Edureka is a good option for them.]