You must be wondering what exactly the new year 2023 has come to in terms of Data Science. Well, it’s true that data science will be the highest-paid job in the 21st century, and they’re going to make a lot of money out of it. Everyone wants to make money, indeed a lot of money, and in front of your eyes, you have Data Science.
If you want to become the top Data Scientist of the world, trust me these courses offered by IBM and made by IBM developers will led you to the road to become the Best Data Scientist. Gain access to these courses and let the oppurtnity knock your success doors.
Accomplishing AI Privacy and Compliance with IBM Privacy Toolkits
This course is based on the concept of AI security and privacy with IBM privacy tools. These will lead you to the solutions of the privacy risks created by the AI in our world.
The overview of the course explains as follows
- AI Privacy concept
- AI Privacy Toolkit
- Differential Privacy Library
- Adversarial Robustness Toolbox
Note that the course has been designed in collaboration with the iToBoS project. The learners are required to have the pre-requisite knowledge of AI/Machine Learning Workflow, Data Science and Python
Link : Accomplishing AI Privacy and Compliance with IBM Privacy Toolkits
Data Science Methodology
It is believed that this course is actually the shortcut to become a successful data scientist as the course contents everything in an elaborated and organized form from beginner to professional level. You will learn and then apply this methodology that can be used to tackle any Data Science scenario.
The overview of the course explains as follows
- The major steps involved in practicing data science
- Forming a business/research problem, collecting, preparing & analyzing data, building a model, deploying a model and understanding the importance of feedback
- Apply the 6 stages of the CRISP-DM methodology, the most popular methodology for Data Science and Data Mining problems
- How data scientists think!
From this course you will gain the skills of Data Science, Methodology, CRISP-DM, Data Analysis and Data Mining.
Link : Data Science Methodology
Data Visualization with Python
This course will help you learning how to visualize both small and large-scale data. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights.
The overview of the course explains as follows
- Create various types of basic and advanced graphs and charts
- Learn to create interactive dashboards
- Data visualization libraries in Python
From this course you will gain the skills of Dashboards and Charts, dash, Python Programming, Matplotlib and Data Visualization (DataViz)
Link: Data Visualization with Python
Using R with Databases
This course will help you learn the programming language R and use R to analyze data in relational databases. It will help you how to connect to relational databases, access and query the database, update and modify the data, analyze it and perform simple visualizations.
The overview of the course explains as follows
- R and Relational Databases
- Connecting to Relational Databases using RJDBC and RODBC
- Database Design and Querying Data
- Modifying Data and Using Stored Procedures
- In-Database Analytics with R
From this course you will gain the skills of R, Databases, Database Design, Querying Data and Modifying Data.
Link: Using R with Databases
Conclusion
These courses will really help you to become the data scientist from scratch. These courses are from ibm training, coursera and cognitiveclass.
