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What is IBM?
IBM (The International Business Machines Corporation) nicknamed Big Blue. It is an American multinational technology corporation headquartered in Armonk, New York, and is present in over 175 countries. It is specialized in computer hardware, middleware, and software. However, the IBM Data Science Certification is the largest industrial research organization in the world.
IBM was founded in 1911 as the Computing Tabulating Recording (CTR). It is a publicly-traded company. Generally, IBM has been responsible for several technological transformations. It was renamed as International Business Machines in 1924. Afterward, it became the leading manufacturer of the punch-card tabulating system. IBM would become an industry leader in several emerging technologies. In 1980 IBM began losing its market dominance to emerging competitors. It is one of the oldest and largest technology companies.
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What is data science?
Data science is a concept that unites statistics, data analysis, informatics, and their related methods to understand and analyze the phenomena with data. Besides, it is the study of the extraction of knowledge from data. Basically, it is multidisciplinary and combines principles and practices in mathematics, statistics, and artificial intelligence(AI) to analyze large amounts of data.
Best IBM Data Science Certification institutes in Chandigarh
1. Techedo Technologies
The best institute to learn Data Science in Chandigarh is Techedo Technologies. This institute provides IBM and Microsoft certification when you are done with your course.
SCO 134-135-136, First Floor above Axis Bank, Sector 34A, Chandigarh
2. The Core Systems
The Core System provides the most number of data scientists to Chandigarh. It is a bit expensive, too, but worth their services.
Caddprimer, 3rd floor, SCO 199-200, Sector 34A, Chandigarh
Most of the school students prefer this institute as it gives them basic Knowledge for their Course. QUASTECH is widely popular in the Mohali area due to its cheap fee structure.
SCF 62, Third Floor, Phase 7, Sector 61, Mohali, Punjab
4. Piford Technologies
Piford Technologies is Located at the IT Park of Mohali, known for widely chained offices, all over the world. Moreover, their training Sessions include more professional work than others.
2nd Floor, KMG Towers, IT C-7, IT Park, Sector 67, Mohali, Punjab
2. VproTech Digital
This Institute is widely famous for its industrial training in different fields. They are known for their experienced teachers and for the expensive fee structure in Tricity.
SCF-116 A, Second Floor, Phase 5, Industrial Area, Sector 58, Mohali, Chandigarh
IBM Data Science Course
1. What is Data Science?
2. Tools for Data Science
3. Data Science Methodology
4. Python for Data Science, AI, and Development
5. Python Project in Data Science
6. Database and SQL for Data Science with Python
7. Data Analysis with Python
8. Data Visualization with Python
9. Machine learning with Python
10. Applied Data Science Capstone
Course 1 – What is Data Science
Basically, this is the first course in the IBM Data Science course. In a total of 9 hours, you will be able to learn from Data Science practitioners, what is data science, what the job entails, what skills need to be built, what career options you have, and in general how data science is used for business data analysis.
Course 2 – Tools for IBM Data Science
The second course is Tools for Data Science and goes deep into data science tools.
You’ll understand and be introduced to popular data science tools including
For each tool, you’ll learn about the main features and how to use them using the IBM data science Skills network labs
Course 3 – Data Science Methodology
Afterward, the Data Science Methodology course is the next challenge. In this course, you will learn how to approach the data science problem and how to think like a data scientist. Furthermore, this course is used for gathering data. Also, building a data model.
Course 4 – Python for Data Science, AI, and Development
Meanwhile, you will learn Python basics and how to handle standard data types. Undoubtedly, the title is more encouraging than the actual material. No fancy AI, no development experience, just some more theory and simple coding.
Course 5 – Python Project in Data Science
In this project, you will apply the learned basics in a somewhat real-life framework. It gives you some confidence in your new skills.
Course 6 – Database and SQL for Data Science with Python
It provides a great introduction to the theory of SQL. Basically, this course is perfect for you. You will get a lot of coding exposure.
Course 7 – Data Analysis with Python
Develop courses for preparing data for analysis including handling missing values, binning data, formatting, and normalizing. Perform exploratory data analysis and apply analytical methods to real-world datasets using libraries such as Numpy, Spices, and Pandas.
Course 8 – Data Visualization with Python
Create different types of charts and plots. For example, line, histograms, pie, bar, scatter, bubble, and area.
Course 9 – Machine Learning with Python
You will learn various types of algorithms and when to use them. Compare and contrast linear classification methods including multiclass prediction, and logistic regression support vector machines.
Course 10 – Applied Data Science Capstone
Overall,- apply your skills to perform data collection, data visualization model development, exploratory data analysis, data wrangling, and model evaluation.
How hard is an IBM Data Science Certification?
Undoubtedly, the IBM Data Science Professional Certificate is not hard to get. It’s an entry-level certification aimed at people who have no experience in data analysis and data science. After all, the certification starts by explaining what data science is and how it works. Altogether, introduced to different concepts and tools. Further, the lessons are easy to follow with small digestible lessons.
Other IBM Data Science Certification
Generally, Alternative Certification for IBM Data Science professionals includes the four certificates by IBM listed above and the Google Data Analytics Certification. Although, you can also consider taking a Digital Marketing Certification and entering the marketing industry as a digital marketer. It requires no map-out skills.
Shortly, Data scientists are the new stars of the business, with an average salary of under $100,000 in the United States. Overall, the demand for the Data Scientists is on the rise. Data Scientists are growing at 31%, which is one of the fastest-growing jobs today. Hence, you’ll learn advanced programming skills in this course.
Frequently Asked Questions
Q.1 What is IBM data science?
Ans. Data science combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization’s data.
Q.2 Who is eligible for the IBM Data Science course?
Ans. Graduation in Science or Engineering with 50% aggregate and maths/Statistics/CS/IT as one of the core subjects.
Q.3 Are IBM certificates Recognised?
Ans. Yes, IBM skills are recognized and valued around the world, so having an effective way to easily share your knowledge and expertise with your professional network is essential for your career growth.
Q.4 What is the use of IBM certification?
Ans. A way for skilled IT professionals to demonstrate their expertise to the world.
Q.5 Can I join IBM as a fresher?
Ans. The candidate must have completed a bachelor’s and master’s degree in any engineering and computer science are eligible to apply.
Q.6 Does IBM offer good salary?
Ans. The average IBM salary ranges from approximately ₹ 3,22,457 per year for Account Executive to ₹ 17,50,000 per year for Customer Solutions Specialist.
Q.7 What is the package of IBM freshers?
The average salary of a fresher at IBM is ₹3.2 Lakhs per year which is 5% more than average salary of a fresher in India which receives a salary of ₹3.0 Lakhs per year.
Q.8 What is the highest salary in IBM India?
Ans. The highest-paying job at IBM is a Partner with a salary of ₹91.9 Lakhs per year.