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Long Term Mentorship

1-on-1 long-term mentorship with your chosen mentor to guide you to the career you deserve

Move Over traditional courses

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1:1 Long Term Mentorship

30%

Cheaper

Compared to any 6 month course

4x

Results

As compared to any online courses

50%

Faster

Get a results within 6 months instead of years

600+ mentors are just a Free Trial Session away!

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No need to Struggle Alone Anymore

Long term mentorship gets fully covered

1:1 Live Session

Boost your progress with frequent 1:1 sessions.

Unlimited Chat with Mentor

Get the right advice from your mentor via Chat.

Task & Curated Resources

You will be certified for this mentorship program.

Regular Followups

Stay motivated with regular follow-ups.

Job Referrals

Get referrals to companies by mentor community.

Certified

You will be certified for this mentorship program.

Get Mentored By The Star Mentors

Connect with our star mentors, distinguished leaders in their fields, to receive personalized mentorship.

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Niyati Kapoor | Working Professional

How do I change my career to Data Analytics?

Hi, To get into analytics, you should have analytical mindset and some supporting language knowledge - 1. Learn SQL first. This is the most important language to work with Data. 2. Learn Excel - Pivot specially 3. Improve communication, specially Storytelling through Data. 4. Start practicing with data. There are so many places you can download Data and start generating insights. Start with just reporting numbers like how many customers are there or how many people, how many are of x type vs y type etc etc. Then start generating actionable insights -how can you improve this, or that etc etc. 5. Finally practice interviews with mentors. 6. Build network who can refer you. Keep practicing and improving your knowledge.

Panneer Selvam.C | Fresher

How to get placed at MAANG as an M.Tech student from institutes like IIT-ISM?

Hi, Getting placed, especially from premier institutions like IIT-ISM, generally involves a combination of academic excellence, relevant skills, networking, and preparation. Here's a general approach: 1.Academic Excellence : Focus on maintaining a solid academic record, which is often the first filter for many employers. 2.Relevant Skills : Engage in projects, research, or internships that align with the company's domain. Seek out workshops, extra courses, or certifications that provide skills relevant to your desired role. Engage in extracurricular activities demonstrating leadership, teamwork, or other soft skills. 3.Networking : Utilize platforms like LinkedIn to connect with alumni or current employees at the company. This can give you insights into the company's recruitment process, culture, and expectations. Attend company presentations, workshops, or webinars organised on or off-campus. If the company has previously recruited from your institution, connect with seniors or alumni who got placed there for advice and feedback. 4.Application and Resume : Tailor your CV/resume to highlight skills and experiences that are most relevant to the company and role. A well-crafted cover letter can also be valuable, showcasing your motivation and fit for the company. 5.Preparation : Prepare for technical interviews by revisiting important topics from your curriculum, practicing coding (if it's a tech role), and engaging in mock interviews. Research the company thoroughly, including its values, recent news, and major projects or products. This will help in HR rounds or discussions that revolve around cultural fit. Engage in mock group discussions or other relevant preparatory activities if such rounds are part of the selection process. 6.Stay Updated : Monitor the institute's placement cell notifications or the company's careers page for relevant opportunities. Engage in any pre-placement talks or interactions the company might offer to get insights and make a good impression. 7.Seek Feedback : After interviews or interactions, if you're not successful, try to seek feedback. While not all companies provide feedback, any insights you can get will be valuable for future opportunities. Remember, while placements are a great way to land a job, they are not the only way. Many students succeed in off-campus recruitments, startups, or even entrepreneurial ventures. The key is persistence, refining your approach, and staying positive.

Retina Haldar | Fresher

How can we add a consultant skills along wth data analyst skills

Hi Retina, In order to incorporate consultant skills alongside data analyst skills, focus on developing strong communication abilities to effectively convey data insights to various stakeholders, both technical and non-technical. Prioritize a client-centric approach by aligning your data analysis with organizational objectives and specific business challenges. Cultivate your problem-solving skills to identify issues, propose solutions, and measure their impact, following a structured problem-solving framework. Learn project management methodologies to efficiently manage data analysis projects, set clear goals, and engage stakeholders regularly. Apply critical thinking to evaluate data sources and methodologies rigorously, and enhance your data visualization skills for compelling storytelling. Consider ethical considerations, stay updated with industry trends, and seek opportunities to provide value proactively. Gaining interdisciplinary knowledge and relevant certifications can further boost your consulting abilities, and if feasible, gain practical consulting experience within your current organization or through freelance projects to apply and refine these skills effectively. Combining these consultant skills with data analysis expertise makes you a well-rounded professional capable of delivering valuable insights and guiding informed decisions within organizations. Please feel free to book 1:1 trial session in case you have any further queries or need mentorship.

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