Learn from Home Offer
All-in-One Data Science Bundle - 400+ Courses | 550+ Mock Tests | 2000+ Hours | Lifetime |
It covers core areas such as Machine Learning, Artificial Intelligence, Deep Learning, Predictive Modelling, BI, Data Science, Data Visualization, Big Data, IoT, Cloud Computing, SalesForce, Statistical Analysis etc. using wide range of software platforms and tools such as R, Python, SAS, Power BI, Tableau, SPSS, Minitab, AWS, Informatica, eviews, Matlab etc.. These courses will provide the practical knowledge and skills needed to perform Data Analytics in the real world. You will get a verifiable certificate (unique certification number and your unique URL) for each course you complete.
* One Time Payment & Get Lifetime Access
What you get in this All-in-One Data Science Bundle - 400+ Courses | 550+ Mock Tests | 2000+ Hours | Lifetime |?
2000+ Hours
400+ Courses
Mock Tests
Course Completion Certificates
Lifetime Access
Self-paced Courses
Technical Support
Mobile App Access
Case Studies
Introduction
The All-in-One Data Science Bundle provides a wide range of first-hand experience to acquire industry-relevant skills. They eventually will make you a better fit for the market. The course curriculum is curated by considering market skills such as Machine Learning, Data Science, Python, statistical modeling, front-end visualization, and many more. Completing this bundle/ some courses from this bundle will help you to acquire the relevant tools required in Data Science fields. It can offer students and professionals the opportunity to apply Data Science and Analytics to explore new career avenues.
Skills You’ll Master
Machine Learning |
|
Tools and Technologies you will be using and learning |
|
Business Analysis |
|
Data Analysis & Data Visualization |
|
Process Design and Development |
|
Quantitative Analysis |
|
Deep Learning |
|
Programming |
|
Statistics |
|
Big Data |
|
All-in-One Data Science Bundle Curriculum
Bundle | No. of Courses | Hours | No. of Mock Tests | No. of Completion Certificates |
---|---|---|---|---|
MACHINE LEARNING Course Bundle - 57 Courses in 1 | 32 Mock Tests | 58 | 220+ | 32 | 58 |
MICROSOFT AZURE Course Bundle - 15 Courses in 1 | 12 Mock Tests | 15 | 73+ | 32 | 15 |
TABLEAU Course Bundle - 16 Courses in 1 | 2 Mock Tests | 16 | 54+ | 2 | 16 |
MINITAB Course Bundle - 9 Courses in 1 | 2 Mock Tests | 9 | 35+ | 2 | 9 |
SPSS Course Bundle - 14 Courses in 1 | 5 Mock Tests | 14 | 34+ | 5 | 14 |
Ai ARTIFICIAL INTELLIGENCE Course Bundle - 7 Courses in 1 | 3 Mock Tests | 7 | 49+ | 3 | 7 |
R PROGRAMMING Course Bundle - 36 Courses in 1 | 25 Mock Tests | 36 | 115+ | 25 | 36 |
SAS PROGRAMMING Course Bundle - 18 Courses in 1 | 8 Mock Tests | 18 | 123+ | 8 | 18 |
PYTHON for Machine Learning Course Bundle - 39 Courses in 1 | 6 Mock Tests | 39 | 125+ | 6 | 39 |
AWS Course Bundle - 23 Courses in 1 | 28 Mock Tests | 23 | 87+ | 28 | 23 |
MATLAB Course Bundle - 5 Courses in 1 | 3 Mock Tests | 5 | 11+ | 3 | 5 |
HADOOP Course Bundle - 32 Courses in 1 | 4 Mock Tests | 32 | 170+ | 3 | 32 |
MICROSOFT POWER BI Course Bundle - 8 Courses in 1 | 8 | 34+ | 3 | 8 |
INFORMATICA Course Bundle - 7 Courses in 1 | 7 | 69+ | 3 | 7 |
EVIEWS Course Bundle - 11 Courses in 1 | 11 | 22+ | 3 | 11 |
MS SQL SERVER Course Bundle - 27 Courses in 1 | 3 Mock Tests | 27 | 92+ | 3 | 27 |
SALESFORCE Course Bundle - 4 Courses in 1 | 4 | 24+ | 3 | 4 |
TENSORFLOW Course Bundle - 16 Courses in 1 | 2 Mock Tests | 16 | 63+ | 2 | 16 |
ANSIBLE Course Bundle - 4 Courses in 1 | 4 | 11+ | 2 | 4 |
SPLUNK Course Bundle - 12 Courses in 1 | 12 | 55+ | 2 | 12 |
PANDAS & NUMPY Course Bundle - 9 Courses in 1 | 3 Mock Tests | 9 | 38+ | 3 | 9 |
MULTISIM Course Bundle - 5 Courses in 1 | 5 | 5+ | 3 | 5 |
GOOGLE ANALYTICS Course Bundle - 14 Courses in 1 | 14 | 52+ | 3 | 14 |
MATPLOTLIB Course Bundle - 5 Courses in 1 | 3 Mock Tests | 5 | 17+ | 3 | 5 |
PYSPARK Course Bundle - 6 Courses in 1 | 3 Mock Tests | 6 | 14+ | 3 | 6 |
APACHE SQOOP Course Bundle - 4 Courses in 1 | 4 | 8+ | 3 | 4 |
KUBERNETES Course Bundle - 4 Courses in 1 | 4 | 9+ | 3 | 4 |
APACHE PIG Course Bundle - 6 Courses in 1 | 6 | 17+ | 3 | 6 |
HIVE Course Bundle - 7 Courses in 1 | 7 | 23+ | 3 | 7 |
KERAS Course Bundle - 10 Courses in 1 | 10 | 27+ | 3 | 10 |
MAPREDUCE Course Bundle - 6 Courses in 1 | 6 | 17+ | 3 | 6 |
SEABORN Course Bundle - 5 Courses in 1 | 3 Mock Tests | 5 | 9+ | 3 | 5 |
CASSANDRA Course Bundle - 14 Courses in 1 | 14 | 36+ | 3 | 14 |
OCTAVE Course Bundle - 4 Courses in 1 | 4 | 11+ | 3 | 4 |
SCIKIT-LEARN Course Bundle - 4 Courses in 1 | 4 | 28+ | 3 | 4 |
TALEND Course Bundle - 6 Courses in 1 | 6 | 8+ | 3 | 6 |
QLIKVIEW Course Bundle - 3 Courses in 1 | 3 | 10+ | 3 | 3 |
OPENCV Course Bundle - 5 Courses in 1 | 5 | 10+ | 3 | 5 |
DOCKER Course Bundle - 7 Courses in 1 | 7 | 12+ | 3 | 7 |
SEO Course Bundle - 18 Courses in 1 | 18 | 64+ | 3 | 18 |
DATA SCIENTIST Course Bundle - 150 Courses in 1 | 150 | 608+ | 3 | 150 |
FORECASTING MODELS Course Bundle - 18 Courses in 1 | 18 | 47+ | 3 | 18 |
BUSINESS ANALYTICS Course Bundle - 22 Courses in 1 | 22 | 89+ | 3 | 22 |
TIME SERIES ANALYSIS Course Bundle - 13 Courses in 1 | 14 | 68+ | 3 | 14 |
CLOUD COMPUTING Course Bundle - 23 Courses in 1 | 23 | 97+ | 3 | 23 |
IOT Course Bundle - 7 Courses in 1 | 7 | 43+ | 3 | 7 |
DATA VISUALIZATION Course Bundle - 20 Courses in 1 | 9 Mock Tests | 20 | 103+ | 3 | 20 |
DEEP LEARNING Course Bundle - 40 Courses in 1 | 4 Mock Tests | 40 | 153+ | 4 | 40 |
PREDICTIVE MODELING Course Bundle - 17 Courses in 1 | 17 | 79+ | 4 | 17 |
BUSINESS INTELLIGENCE Course Bundle - 18 Courses in 1 | 18 | 114+ | 4 | 18 |
FRAUD ANALYTICS Course Bundle - 3 Courses in 1 | 3 | 5+ | 4 | 3 |
STATISTICS Course Bundle - 24 Courses in 1 | 11 Mock Tests | 24 | 139+ | 11 | 24 |
AWS Sysops Administrator Training | 1 | 8+ | 11 | 1 |
AWS Solutions Architect Course Bundle - 2 Courses in 1 | 2 | 16+ | 11 | 2 |
DevOps Course Bundle - 7 Courses in 1 | 7 | 20+ | 11 | 7 |
Apache Spark Course Bundle - 3 Courses in 1 | 3 | 13+ | 11 | 3 |
Apache Storm Training | 1 | 2+ | 11 | 1 |
Mahout Training | 1 | 4+ | 11 | 1 |
SSIS Course Bundle - 2 Courses in 1 | 2 | 7+ | 11 | 2 |
Customer Analytics Training | 2 | 3+ | 11 | 2 |
Marketing Analytics Course Bundle - 6 Courses in 1 | 6 | 10+ | 11 | 6 |
CloverETL Course Bundle - 2 Courses in 1 | 2 | 4+ | 11 | 2 |
APACHE SOLR Certification Course | 1 | 4+ | 11 | 1 |
TIME SERIES ANALYSIS with PYTHON Course Bundle - 16 Courses in 1 | 16 | 57+ | 11 | 16 |
TIME SERIES ANALYSIS with MINITAB Course Bundle - 6 Courses in 1 | 6 | 22+ | 11 | 6 |
TIME SERIES ANALYSIS with TABLEAU Course Bundle - 9 Courses in 1 | 9 | 27+ | 11 | 9 |
TIME SERIES ANALYSIS with R Course Bundle - 19 Courses in 1 | 19 | 73+ | 11 | 19 |
TIME SERIES ANALYSIS with MS EXCEL Course Bundle - 19 Courses in 1 | 19 | 58+ | 11 | 19 |
TIME SERIES ANALYSIS with SAS Course Bundle - 9 Courses in 1 | 9 | 57+ | 11 | 9 |
SQLite Course Bundle - 4 Courses in 1 | 4 | 10+ | 11 | 4 |
CHEF Software Training | 1 | 2+ | 11 | 1 |
NLP tutorial using Python NLTK Course Bundle - 4 Courses in 1 | 4 | 11+ | 11 | 4 |
KIBANA Course Bundle - 4 Courses in 1 | 4 | 13+ | 11 | 4 |
CouchDB Course (1 Course) | 1 | 4+ | 11 | 1 |
APACHE KAFKA Course Bundle - 2 Courses in 1 | 2 | 8+ | 11 | 2 |
DATA MODELING Course Bundle - 15 Courses in 1 | 15 | 102+ | 11 | 15 |
PREDICTIVE MODELING with PYTHON Course Bundle - 8 Courses in 1 | 8 | 23+ | 11 | 8 |
PREDICTIVE ANALYTICS Course Bundle - 9 Courses in 1 | 9 | 54+ | 11 | 9 |
PREDICTIVE MODELING with SAS Course Bundle - 6 Courses in 1 | 6 | 13+ | 11 | 6 |
Bonus Data Science Courses | 143+ | |||
Total | 400+ | 2000+ | 146 | 400+ |
Data Science Course – Certificate of Completion
Build your skills to get Job Ready.
Whether you want to embark on a new career or change your current one, EDUCBA Course will help you get there. To help you build your portfolio showcasing your job readiness to potential employers by using your skills with hands-on projects.
Earn & Share your accomplishment.
The certificate is awarded when you accomplish all of the program’s courses to share with your professional network in order to help you get started in your professional beginning.
What is Data Science?
Data Science is a field of computer science that includes several technological and mathematical subjects to efficiently develop several data science applications or tools in the area of computer science including several concepts such as artificial intelligence, neural network, Statistics, and machine learning programming techniques. This area of Data Science also provides Machine Learning Algorithm techniques, Tableau tools usage and applications, data Mining & modeling, Data Visualization using Tableau tool. The usage of different other tools like NumPy, Seaborn, Pandas, Matplotlib, and TensorFlow are explained well.
This Data Science subject has a wide range of technical concepts such as Python, R Programming, AWS (Amazon Web Services), several AWS certifications, Data Science tools and advanced techniques to handle large amounts of data to perform bulk operations. There are also different statistical techniques in this area such as regression techniques, multi regression techniques, logistical and polynomial techniques.
Industry Growth Trend
The overall data science platform market is expected to grow from USD 19.58 billion in 2016 to USD 101.37 billion by 2021, at a CAGR of 38.9% from 2016 to 2021. The base year considered for the study is 2015, and the forecast has been provided for the period between 2016 and 2021.[Source - MarketsandMarkets]
Average Salary
[Source - Indeed]
Skills you will master
Pre-requisites
- Willingness to pursue a career as a Data Science Engineer or Web Developer or Python Developer: The All in One Data Science course does not have prerequisites and can be chosen by any learner to learn basic knowledge on Python programming, data science tools, Web development process using Python Django, etc. Any learner who is keen to learn the Data Science concepts such as data tools and python programming, AWS tools, Oracle tools, Data Analysis, and Data Visualization techniques using different tools are eligible to consider this Data Science course. The basics of any data science related tools or programming languages or software development concepts are recommended to learn the contents of this course easily. This Data Science course can also be learned with the basic knowledge of any Data Science related topics or Python or Scala or Big Data technologies and any data science hands-on experience is also an advantage.
- Knowledge in Hadoop or Python or Big Data Tools: Any basic knowledge or experience in the areas of Data Science or Big Data or Hadoop or data analysis tools and its related concepts will be an added advantage in learning the contents of this All in One Data Science course. This course also has many advantages on learning the concepts such as analysis of big data, handling large amounts of data, operations of large amounts of data efficiently, etc. will be a benefit in learning the concepts of this All in One Data Science course including a lot of data operations tools, IDEs, frameworks, and techniques which will be of more useful in learning the many other concepts related to Data Science.
Target Audience
- Students of Computers or any Technical background: Any prospective learner or student having a Bachelor’s degree in engineering or any Science or baccalaureate in the technical area can opt for this All in One Data Science course. All the learners who are interested and have knowledge on Data Science concepts or Data Analysis or Big data tools and/or frameworks can opt for this Data Science course. This All in One Data Science course is an added advantage to improve the career or profession of any Software Engineer or Data Scientist or any learner with more benefits to their profession or career. This course is also well recommended to the learners who are interested in learning the latest Data Science tools and techniques. This course is designed to advance the career of the learners to the next level to secure better job opportunities.
- Data Scientist or Big Data Developer or Hadoop Architect: The learners of this All in One Data Science course will be able to learn several concepts of Data Science or Big Data or Hadoop or AWS concepts, technologies, different data analysis tools, and visualization tools, several Python frameworks, tools, IDEs and Hadoop or Apache related Big Data frameworks, tools, and techniques from the contents of this Data Science course which will be further adding a lot of benefits to the learners’ career as a Python Developer, Full Stack Engineer, Hadoop Engineer, Data Scientist, Big Data Developer, Software Engineer, Technical Architect, Technical Architect, etc. This Data Science course can also be chosen to secure good career opportunities in the Data Science or Hadoop or Big Data area.
- Bachelor’s or Master’s Degree in Engineering or Science: Any Bachelor’s or Master’s Degree in Science or Engineering filed or any technical degree holder can choose this Edu CBA – All in One Data Science course to become a Technological Data Science Engineer or Software Developer or Hadoop Developer in any Data Science-based development or related Big Data Developer roles in the larger companies.
FAQ’s- General Questions
Is this All in One Data Science course worth considering?
The training provides a wide range of first-hand experience to acquire industry-relevant skills. They eventually will make you a better fit for the market. The course curriculum is curated by considering market skills such as Machine Learning, Data Science, Python, statistical modeling, front-end visualization, and many more. Completing this bundle/ some courses from this bundle will help you to acquire the relevant tools required in Data Science fields. It can offer students and professionals the opportunity to apply Data Science and Analytics to explore new career avenues.
I don’t have to have knowledge or experience in Computers or Data Science concepts and techniques, is this All in One Data Science course a better choice for my profession?
Novices can opt for this All in One Data Science Course as well to learn and get into accurate learning skills
Will this Data Science course provide any value to my career or profession?
The Data Scientist role is highly in demand in today’s competitive world, and the use of data is increasing in every sector hence Data Science course from EDUCBA will add an added advantage to your career.
What if I have queries while completing this Data Science online course?
We are always willing to assist. If you have a query, please contact us at [email protected], and we will try our best to respond within 24 hours.
How soon after registering for this course would I get access to the Course Content?
After enrolling in this Data Science course, you will immediately receive access, which is available to you for a lifetime. All you need to do is log in to EDUCBA using the credentials and access study materials like video content and reference files.
How would I make time for this comprehensive course?
The idea is to find a bite-size time for each course. You can decide to do one course, Let’s say a Basic programming course, in a week and find an hour or two on the weekdays and a few hours at the weekend to complete the course.
Who are the instructors for this course?
All the instructors at EduCBA are industry practitioners with at least 10-12 years of relevant experience. They are subject matter experts trained by EduCBA to provide an excellent learning experience.
Sample Preview
Career Benefits
- This All in One Data Science course is a package of 400+ online courses for the latest technologies, development tools for the large data handling applications using the latest data science tools and related technologies, frameworks, and concepts with hands-on content.
- Any Python Developer or Full Stack Developer or Big Data Engineer can opt for this All in One Data Science course to learn the latest data science or big data concepts and technological tools along with its features and advanced concepts to get the career advanced to a next level such as Big Data Architect, Data Scientist or Solution Architect, etc.
- There are also other benefits to a career upon choosing this All in One Data Science course are such as the Data Science All in One Bundle course certification which is a part of the learners’ profile as a verifiable qualification.
Career Options
Machine Learning |
|
Artificial Intelligence |
|
Data Science |
|
Data Analysis & Data Visualization |
|
Cloud Computing |
|
Course Reviews
Data science with python
The course goes through the different areas of data science with python. Besides a fundamental theory regarding the explained concepts, the diverse concepts are exemplified with short python programs. The lessons are good to understand and the programs presented to illustrate and implement the concepts are simple and significant.
Linked
Jorge Giro
Business Analytics using R
The course was very comprehensive and covered in detail the business analytics using R. The tutor used clear English and explained very carefully the different topics of the course. It is very rare to find a course online that covers that much information going from the basics of statistics to the application of R to business analytics. I think this is a competitive advantage of the course since the majority of this kind of courses available online are made for people who already know statistics or even some knowledge about the software itself, but this Data Science course tried to cover them all which made very comfortable for me as a student.
Linked
Abderrahmane Friha
Amazing First Sashay with Customer Analytics
If you’re looking to dipping your toes into customer analytics, this Data Science course is a good first start. It provides the foundation knowledge for customer analytics from mapping out the customer lifecycle and drilling down on what needs to be down per phase of the said lifecycle. I need to note that the course explains from a bank / financial service standpoint, though this I feel allows the course to explain the concepts better instead of not having any examples at all.
Linked
Acee Vitangcol
Great content
Amazing material put together, it goes in-depth with functions on Excel, R, and SAS. I like the complexity and the level of knowledge especially the Excel area. If you are looking to analyze data regularly using excel 2010, or similar platforms such as R, this training is full of great content at a very high level.
Linked
Jorge Dominguez
Good Introduction to Marketing Analytics
It is a good Introduction to Marketing Analytics. It lists the typical activities carried out in the practice of predictive analytics. Furthermore, it helps to define how to make analytics more efficient, lists the type of models that are used in marketing and digital marketing, and some hints on the leading vendors of predictive analytics.
Linked
Ricardo Garibay-Martínez,
Excellent
It was a well-explained course! Easy to understand and practice. Recommended for beginners.
Linked
Arjun Gaggar
Statistics Using R
The course covers t-distribution, Z statistic, and Central limit theorem with exceptional clarity. It helped me in understanding the concepts with such a depth that I would never forget them now. The examples are highly practical and apt. The parallel execution of formulas in R makes it simple to remember rather than just going through the formulae, this Data Science course explains the underlying concepts first. It is the best course on R-Statistics I have come across so far.
Linked
Abbas Singapurwala
Business Analytics using R
Business Analytics is an excellent course for beginners in both Statistics and R programming. A lot of concepts have been covered from basics. It includes descriptive analysis, regression modeling, time series forecasting. It’s good knowledge if someone does not have any background in these techniques.
Linked
Ankit Tyagi
Very good
Detailed and informative course. covered everything in depth. need to know basic statistics for this Data Science course. but this will lay a solid ground to become a data analyst. with this course realized how powerful is R software and its possibilities. Loved every bit of the course and would do more courses from EduCBA
Linked
Mudassir Ahmed
Data Science course
After completing Business analytics on the R programming course, this was very advanced and helped me with my career towards becoming a data scientist.
The course is well structured and the instructor is well organized. I would recommend this to all upcoming data scientists out there.
Linked
Thakgatso Jack Dikobo
Best Professional Development Platform
I have tried a lot of e-portals to have a complete set of curriculum on a specific professional course but did not find any. Thanks to EduCBA for their brilliant initiative to put details of the course and related topic in a single platform along issuing a course completion certificate……
Linked
SANJAY KUMAR KHILAR
Amazing
Very great content and easy to understand for beginners. A well structured informative course from an excellent instructor. The training starts from (1) a detailed introduction with real business examples, (2)the business analytics life cycle, (3)detailed understanding of R,
(4)data manipulation and statistics, (5)great examples and understanding visualization, and many more.
I would recommend this to anyone new or already pursuing their business analytics careers.
Linked
Thakgatso Jack Dikobo
Business Analytics using SAS
Great course. Very knowledgeable and covers a wide variety of topics. I would highly recommend this Data Science course to anyone trying to get started with SAS as a business analytics tool. Data validation and cleaning was very interesting. The section on data manipulation and data transformation covered a wide array of topics. One main topic covered was the date types and how they are assigned in SAS, which was a bit difficult to understand at first. Thank you for the opportunity.
Linked
Jonathan Johnson
New learning experience
I enjoyed the course and I believe the course has been a perfect way to be introduced to R programming and business analytics in general.
The mix of statistics and R Programming goes to the core of the learning process
Great course very broad and helps generate further interest and awesome ideas. I am thinking of taking additional courses due to the many insights I gained from this Data Science course
Linked
AJIBOLA ADETULA
Advanced SAS Programming
Great course for increasing your knowledge of SAS programming. Very knowledgeable and covers a wide variety of topics. I would highly recommend this course to anyone trying to increase their SAS Programming skills. The repeating of information as it related to each topic was a bit much for me but I’m sure it could be helpful for individuals that are first starting with the topic. This session covers MACROs in-depth; including MACRO Variable and MACRO processes. Overall the course was very informative and in-depth on all the topics it covered.
Linked
Jonathan Johnson
Basics of R Review
Good course, although bothered how the text in the slides is exactly what the tutor was saying, so there could be a text format of it also for copying.
Maybe there should have been more lessons about the analysis part with R, to get an impression of what apx R can do with data.
Overall, very useful, and will help me write my thesis!
Linked
Imola Fodor
Effective Tool for dashboard creation
This Data Science course is very informative and good for beginners. Clear, easy to understand and the instructor delivered the course in a very smooth way and covered a lot of topics. It lists the typical activities carried out in analytics and dashboard creation. Furthermore, it helps to define how to make a dashboard effectively. Simple and easily demonstrated Sales and Marketing analysis, chart, and table creation.
Linked
Patrick
Nice & Refreshing Data Science Course
This course on Hadoop and HDFS Basics was nice and refreshing. The instructor has explained all the concepts simply by providing sample examples. If you are completely new to Hadoop and need to learn basics then I recommend you to go for this Data Science course.
Linked
Almaamoon rasool abdali
Business Analytics Using R
This course is satisfactory for learning a few basics on R. I already have previous experience using R Studio, so there was not any new information for myself. But for someone who has no or very minimal experience with R, this Data Science course is good for teaching them the basics. People following these videos can download R and perform the same steps at the same time as the video.
Linked
Conner Capdau
Customer-Centric
This is a great course that explains how customers relate directly with the different company departments and how each department relates to the vision of the company to satisfy the customers, I like the fact that the course it is given with the assumption that the business it is moving towards the customer-centric vision, and how customer analytics will be the key to success.
Linked
Jorge Dominguez