Master of business analytics is good or masters of analytics or master of data science ? Interms of graduate visa , job opportunities and PR? Also, do we get 3 yrs graduate work visa in regional abd only 2 yrs for sydney brisbane melborne ? My cousnellor said its 3 yrs for adelaide
All your videos are very helpful for a course selection. How to apply for second year scholarship for first year student at RMIT University Bandura. Whether through the RMIT website or by contacting and applying directly. Awaiting reply.
Applied for ms in data science, good funds 35+ lakh, pte 76, 9 gpa college, but got refusal due to non sense reason saying not pursuing previous studies, as I did mechanical in bachelors but got into IT company and worked on almost 2 year for aiml domain so got interested in this filed and made my mind to pursue in this filed but officer rejected it don't know why do they guys do this am I dumb to do master in mechanical engineering instead of data science after having professional experience. Also rmit didn't help me with that as I raised concern that if course was the case with officer than why did you guys gave me un conditional offer in just 5 days,, I also got ms in data science un conditional offer from monash university in 3 days. I think they are cutting because many apply to this course but they are loosing genuine student by this.
@@HimanshuRewri I got my visa refusal in 14 days as My agent delayed it and GS requirement was just introduced and it ruined by application as agent laged knowledge of gs requirement.
Before applying for a Master of Data Science in Australia, gaining relevant skills can greatly enhance your application and preparation. Here’s a list of essential skills and areas to focus on: ### Core Skills to Learn: 1. **Programming Languages**: - **Python**: Essential for data analysis, machine learning, and automation. - **R**: Widely used for statistical analysis and data visualization. 2. **Data Analysis and Visualization**: - **Excel**: Fundamental for data manipulation and visualization. - **Tableau/Power BI**: Popular tools for creating interactive visualizations. 3. **Statistical Analysis**: - Understanding statistical methods and techniques is crucial for analyzing data and interpreting results. 4. **Machine Learning and AI**: - **Scikit-learn**: A Python library for machine learning algorithms. - **TensorFlow/PyTorch**: For advanced machine learning and deep learning. 5. **Database Management**: - **SQL**: Essential for querying databases. - **NoSQL Databases**: Knowledge of databases like MongoDB can be beneficial. 6. **Data Cleaning and Preprocessing**: - Techniques for handling missing data, outliers, and data normalization. 7. **Big Data Technologies**: - Basic knowledge of Hadoop and Spark can be useful for handling large datasets. 8. **Version Control**: - **Git**: For tracking changes and collaborating on code. ### Online Resources to Learn These Skills: 1. **Coursera**: - Offers courses on Python, R, machine learning, and data science. - [Coursera Data Science Courses](www.coursera.org/browse/data-science) 2. **edX**: - Courses from top universities on data science and analytics. - [edX Data Science Courses](www.edx.org/learn/data-science) 3. **Udemy**: - Affordable courses on various data science tools and techniques. - [Udemy Data Science Courses](www.udemy.com/topic/data-science/) 4. **Kaggle**: - Data science competitions and datasets for hands-on practice. - [Kaggle Learn](www.kaggle.com/learn) 5. **DataCamp**: - Interactive courses on Python, R, and machine learning. - [DataCamp](www.datacamp.com/) 6. **UA-cam**: - Free tutorials and lectures on data science concepts and tools. - [UA-cam Data Science Channels](ua-cam.com/users/results?search_query=data+science) ### Additional Tips: - **Projects**: Work on personal or open-source projects to build your portfolio. - **Certifications**: Obtain certifications to showcase your skills. - **Networking**: Join data science communities and forums for support and learning. These skills will help you build a strong foundation and make your application more competitive. If you have further questions or need personalized advice, follow and DM me on Instagram at [kapslock_jpb](instagram.com/kapslock_jpb/).
Data science is generally considered a PR (Permanent Residency) oriented program in Australia for several reasons: 1. Skill Shortage: Data science skills are in high demand across various industries in Australia, which can facilitate pathways to permanent residency through employer-sponsored visas or skilled migration programs. 2. Occupation Lists: Data scientists often appear on skilled occupation lists, which are used for immigration purposes to determine eligibility for skilled visas. 3. Points for PR: Data science qualifications and experience can contribute significantly to points-based immigration systems, such as Australia’s points-based Skilled Independent (subclass 189) visa, which is a common pathway to PR. 4. Industry Demand: With the increasing importance of data-driven decision-making in businesses and government sectors, the demand for skilled data scientists is expected to remain strong, enhancing job prospects and PR opportunities. 5. Further Education: Graduates of data science programs can pursue further education or advanced studies in related fields, which can also enhance their employability and PR prospects. It’s advisable to check the latest updates from the Department of Home Affairs or consult with a migration agent for specific advice tailored to your situation and goals. If you have more questions, feel free to ask! DM me on Instagram at [kapslock_jpb](instagram.com/kapslock_jpb/).
Hi, thank you for making such informative video. Can you please make a video on the masters of business technology at RMIT? It would be really helpful. Thankyou!
Informative ❤
Master of business analytics is good or masters of analytics or master of data science ? Interms of graduate visa , job opportunities and PR? Also, do we get 3 yrs graduate work visa in regional abd only 2 yrs for sydney brisbane melborne ? My cousnellor said its 3 yrs for adelaide
All your videos are very helpful for a course selection. How to apply for second year scholarship for first year student at RMIT University Bandura. Whether through the RMIT website or by contacting and applying directly. Awaiting reply.
Applied for ms in data science, good funds 35+ lakh, pte 76, 9 gpa college, but got refusal due to non sense reason saying not pursuing previous studies, as I did mechanical in bachelors but got into IT company and worked on almost 2 year for aiml domain so got interested in this filed and made my mind to pursue in this filed but officer rejected it don't know why do they guys do this am I dumb to do master in mechanical engineering instead of data science after having professional experience. Also rmit didn't help me with that as I raised concern that if course was the case with officer than why did you guys gave me un conditional offer in just 5 days,, I also got ms in data science un conditional offer from monash university in 3 days. I think they are cutting because many apply to this course but they are loosing genuine student by this.
@raaj1016 sorry to hear that. can you tell when you have applied? in how many days you got the results?
@@HimanshuRewri I got my visa refusal in 14 days as My agent delayed it and GS requirement was just introduced
and it ruined by application as agent laged knowledge of gs requirement.
Before applying for masters of data science there in Australia,what are the skills that we can learn from our home country?
Before applying for a Master of Data Science in Australia, gaining relevant skills can greatly enhance your application and preparation. Here’s a list of essential skills and areas to focus on:
### Core Skills to Learn:
1. **Programming Languages**:
- **Python**: Essential for data analysis, machine learning, and automation.
- **R**: Widely used for statistical analysis and data visualization.
2. **Data Analysis and Visualization**:
- **Excel**: Fundamental for data manipulation and visualization.
- **Tableau/Power BI**: Popular tools for creating interactive visualizations.
3. **Statistical Analysis**:
- Understanding statistical methods and techniques is crucial for analyzing data and interpreting results.
4. **Machine Learning and AI**:
- **Scikit-learn**: A Python library for machine learning algorithms.
- **TensorFlow/PyTorch**: For advanced machine learning and deep learning.
5. **Database Management**:
- **SQL**: Essential for querying databases.
- **NoSQL Databases**: Knowledge of databases like MongoDB can be beneficial.
6. **Data Cleaning and Preprocessing**:
- Techniques for handling missing data, outliers, and data normalization.
7. **Big Data Technologies**:
- Basic knowledge of Hadoop and Spark can be useful for handling large datasets.
8. **Version Control**:
- **Git**: For tracking changes and collaborating on code.
### Online Resources to Learn These Skills:
1. **Coursera**:
- Offers courses on Python, R, machine learning, and data science.
- [Coursera Data Science Courses](www.coursera.org/browse/data-science)
2. **edX**:
- Courses from top universities on data science and analytics.
- [edX Data Science Courses](www.edx.org/learn/data-science)
3. **Udemy**:
- Affordable courses on various data science tools and techniques.
- [Udemy Data Science Courses](www.udemy.com/topic/data-science/)
4. **Kaggle**:
- Data science competitions and datasets for hands-on practice.
- [Kaggle Learn](www.kaggle.com/learn)
5. **DataCamp**:
- Interactive courses on Python, R, and machine learning.
- [DataCamp](www.datacamp.com/)
6. **UA-cam**:
- Free tutorials and lectures on data science concepts and tools.
- [UA-cam Data Science Channels](ua-cam.com/users/results?search_query=data+science)
### Additional Tips:
- **Projects**: Work on personal or open-source projects to build your portfolio.
- **Certifications**: Obtain certifications to showcase your skills.
- **Networking**: Join data science communities and forums for support and learning.
These skills will help you build a strong foundation and make your application more competitive. If you have further questions or need personalized advice, follow and DM me on Instagram at [kapslock_jpb](instagram.com/kapslock_jpb/).
Master of AI :)
Hiii.... I need your help. How i can talk to you?
feel free to DM me on Instagram at [kapslock_jpb](instagram.com/kapslock_jpb/).
Please let me know that is data science is an PR oriented program or not
Data science is generally considered a PR (Permanent Residency) oriented program in Australia for several reasons:
1. Skill Shortage: Data science skills are in high demand across various industries in Australia, which can facilitate pathways to permanent residency through employer-sponsored visas or skilled migration programs.
2. Occupation Lists: Data scientists often appear on skilled occupation lists, which are used for immigration purposes to determine eligibility for skilled visas.
3. Points for PR: Data science qualifications and experience can contribute significantly to points-based immigration systems, such as Australia’s points-based Skilled Independent (subclass 189) visa, which is a common pathway to PR.
4. Industry Demand: With the increasing importance of data-driven decision-making in businesses and government sectors, the demand for skilled data scientists is expected to remain strong, enhancing job prospects and PR opportunities.
5. Further Education: Graduates of data science programs can pursue further education or advanced studies in related fields, which can also enhance their employability and PR prospects.
It’s advisable to check the latest updates from the Department of Home Affairs or consult with a migration agent for specific advice tailored to your situation and goals. If you have more questions, feel free to ask! DM me on Instagram at [kapslock_jpb](instagram.com/kapslock_jpb/).
@@KapsLockVlogs great information 👌
Hi, thank you for making such informative video. Can you please make a video on the masters of business technology at RMIT? It would be really helpful. Thankyou!
Yes, sure
Anyone got visa who have applied in June?
No
Applied on 20th June
No one?
I applied on may but still waiting
@@avadhvora which university?