Big Data & Analytics

The admission requirements for a Master of Science in Data Analytics at Touro GST are given as follows:

• A major in computer science, IT, Graphic systems

• Graphic Design or Digital Media is recommended 

• A minimum undergraduate or GPA average of 3.0 on a scale of 4.0

• Applicants must submit a statement of purpose describing their goals and objectives behind choosing this university

• Students applying for the university must be ready with 2 LOR and each letter can be from either a work supervisor or an academic instructor. 

• Applicants must provide the university with a current updated resume.

• Applicants must meet the below English requirements:

The reasons to study BPP University MSc Management with Data Analytics course are given below:

• Experience using numerous data tools, theories, and techniques to undertake practical data and analytical activities that add value to any business
• Focuses on practical knowledge and skills
• Continuation of learning as technology changes, thereby, helping students to challenge existing structures and processes
• Various opportunities in the areas like Business Analyst, Management Consultancy, Data, Marketing and Operations

In short, students are going to benefit from an integrated academic and professional education experience. Furthermore, practical learning shall allow students to critically analyze complex situations using various data analytics tools and data visualization techniques.

Congratulations on completing a Data Science course! Pursuing a career at Google is an exciting goal. To increase your chances of landing a job at Google, follow these steps:

1. Resume and Online Presence: Update your resume to highlight your Data Science course, skills, and any relevant projects or experiences. Ensure your LinkedIn profile is complete and showcases your skills and achievements.

2. Research: Thoroughly research Google, its culture, values, and the specific role you are interested in. Understand the skills and qualifications they look for in candidates.

3. Job Search: Visit Google's official careers website (careers.google.com) to search and apply for suitable Data Science roles. Use keywords like "Data Science, " "Data Analyst, " or "Machine Learning" to find relevant openings.

4. Application: Follow the application process outlined in the job posting. This often involves submitting your resume, cover letter, and sometimes additional materials like a portfolio or work samples.

5. Tailor Your Application: Customize your resume and cover letter for each application, highlighting the skills and experiences that align with the specific role and Google's requirements.

6. Showcase Projects: Highlight any Data Science projects you completed during your course, emphasizing the skills and technologies you used. If you have real-world experience or personal projects, include those as well.

7. Google Cloud and Tools: Familiarize yourself with Google Cloud Platform (GCP) and tools like Google Colab, BigQuery, and TensorFlow. Proficiency in these tools can demonstrate your practical knowledge.

8. Networking: Connect with current and former Google employees on LinkedIn. Attend networking events, conferences, or workshops related to Data Science to expand your professional network.

9. Online Courses and Certifications: Google offers various online courses and certifications (Google Cloud Certifications, TensorFlow Certifications) that can boost your resume and demonstrate your commitment to learning relevant skills.

10. Prepare for Interviews: If you get an interview call, prepare thoroughly. Research common interview questions for Data Science roles and practice your responses. Be ready to discuss your course, projects, and experiences.

11. Behavioral Interviews: Google often conducts behavioral interviews to assess your fit with their culture. Prepare examples of how you've demonstrated key qualities like collaboration, problem-solving, and leadership.

12. Coding and Technical Interviews: Depending on the role, you might have coding or technical interviews. Practice coding exercises and review Data Science concepts related to the role.

13. Problem-Solving: Google values creative problem-solving. Practice solving hypothetical or real-world Data Science problems to demonstrate your analytical skills.

14. Stay Persistent: The hiring process at Google can be competitive and may involve multiple rounds of interviews. Stay persistent, keep applying to suitable roles, and continue improving your skills.

Remember that landing a job at Google can be competitive, so keep honing your skills, learning, and gaining relevant experience to increase your chances of success. Good luck on your journey to joining Google!

Structured Learning Assistance - SLA is known for its excellence in education sector who provides Data Science Course in Delhi with a well established infrastructure with advanced lab facility, senior industry expert and modern training system to enhance the knowledge of students. SLA is well known entity having Data Science Institute. It is built with all convenient facilities and positive study ambiance for the students. Fulfill the main task of placement, SLA aids in 100% Job Placement after completion of 70% course.