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Tag: Advanced Data Science

Enrol in Delhi’s Best Data Science Course and Get a Kickstart to a Career in 2025

Posted on by Imarticus Learning

Want to be a future-ready data scientist or data analyst? Enrol in Imarticus Learning’s best Data Science course in Delhi, where you gain hands-on skills in Python, SQL, Power BI, Machine Learning, and more, and complete live projects that set you apart.

Why Data Science in 2025?

Market Growth Unleashed: India’s data analytics market is booming. It reached US$3.55 billon in 2024 and will grow at a whopping 35.8% CAGR to reach US$21.3 billon in 2030. Another one forecasts an increase to US$27 billon in 2033 (27.5% CAGR).

The AI Revolution: The Indian AI market is expected to touch US$8 bn by 2025, growing at nearly 40% a year. As India is among the top 3 Big Data markets globally, the demand for skilled data professionals is through the roof.

Good Salary Prospects

  • Freshers (0-1 yr): ₹5.8 – ₹10 LPA
  • Mid-level (1-4 yrs): ₹8 – ₹15 LPA
  • Experienced (5-9 yrs): ₹12 – ₹25 LPA
  • Senior (10+ yrs): ₹20 LPA

Median salaries for data scientists in India now reach ~₹30 LPA, while high performers command over ₹40 LPA.

Industries Hiring

  • BFSI (Finance & Banking)
  • Healthcare & Pharmaceuticals
  • E-commerce & Retail
  • Telecom & Cloud
  • Manufacturing & Supply Chain
  • Government & Smart Cities
  • Media & Entertainment

Why Imarticus Learning’s Data Science Course in Delhi?

  • 100% Job Assurance: Get 10 job interviews with top companies from our 500+ hiring partner network.
  • Job-Related Curriculum: Study Python, SQL, Power BI, Tableau, Machine Learning, and more.
  • Live & Interactive Learning: Experience instructor-led instruction and real-time project execution.
  • 25+ Industry Projects: End capstone projects developed by industry professionals.
  • Career Support Round the Clock: Resume development, mock interview sessions, mentorship, and job workshops.

Hackathons & Industry Interaction: Compete on a national level and connect with IIT/IIM alumni and industry professionals.

Why Connaught Place in Delhi?

  • Central location, convenient to reach from anywhere in the NCR.
  • Access to a thriving data science community via local workshops and events.
  • Establish solid networking ties for the best placements in Delhi/NCR.

Data Science Course Fee in Delhi
Flexible EMI plans, scholarships, and personalised payment plans are available in our program. For comprehensive fee details, come visit our Delhi campus or speak with our counselors.

Who to Join?

  • New graduates who wish to start a technology career.
  • Career changers among working professionals.
  • Managers and analysts looking to upskill in advanced data techniques.

What You Will Learn?

  • Python for Data Science
  • SQL & Data Wrangling
  • Power BI & Tableau for Visualisation
  • Machine Learning Foundations
  • Real-world capstone projects

Your Future with Imarticus Learning
On graduation from Imarticus Learning, students would be equipped to take up any role of Data Analysts, Data Scientists, Machine Learning Engineers, Data Engineers, Business Analysts, or AI specialists in any company. With income starting from ₹ 8 to 12 LPA, and sometimes ₹ 20–30 LPA in companies like Accenture, Deloitte, Genpact, and Amazon.

FAQs

  • Is this course suitable for freshers?
    Yes! It’s for both fresh graduates and working professionals.
  • Do I need to possess coding skills while joining?
    No coding experience is required; we start from the beginning.
  • What certifications will I receive?
    You will receive an industry-recommended certification from Imarticus Learning.
  • Is there placement support?
    Yes, we provide college guarantees of interview calls and career guidance.
  • Are there online or offline courses?
    We have hybrid options, including live classroom teaching in Delhi.

Conclusion

Enrolling in Imarticus Learning’s Data Science program in Delhi not just helps you with technicals but also unlocks a high-growth career that’s future-proofed in one of the fastest-growing sectors in India. With excellent placement support and an industry-relevant curriculum. Imarticus Learning prepares you to lead the data revolution confidently.

Ready to start your data science journey? 

Come and see us at H Block Ground Floor, H-16, Middle Circle, Connaught Place, New Delhi, 110001. Or call us today and make an appointment on our website to keep moving on with your career!

Advanced Data Science Skills to Stay Relevant in the Post-Pandemic World!

Posted on by Imarticus Learning

The need to upskill to meet the dynamic demands of a technology-first world has been around for the past few years; it has only become more urgent in the wake of the COVID19 pandemic. The emergence of new technologies such as Artificial Intelligence, machine learning and data science has set the tone for the future.

Data Science

In the post-COVID19 world, there are a few advanced data science skills that, when added to the toolkit of a data scientist, can make or break their career.

To ensure that your core competencies are strengthened as a data scientist, you can sign up for a comprehensive data science training course that explores the following:

 

#1: Geospatial Technologies

 With more people working on data-driven decision processes, geospatial data has helped better planning and processing of the system. This knowledge has proved invaluable in tracking the COVID19 outbreak all over the world; come the near future, geospatial technology will likely be extended to other research areas as well.

Data Science

A geospatial data scientist will need to sift through vast geographic and demographic datasets that hide gold nuggets of insight across diverse research topics.

 

 

#2: Natural Language Processing (NLP)

NLP gained traction even before the pandemic reared its ugly head. That said, it is only set to increase in importance and reach in a post-pandemic world. Natural Language Processing

Most organisations often implement self-service systems, such as bots that come with multi-language optimized NLP to help solve customer problems.

Data scientists of the future must understand NLP and master it enough to help companies develop automated solutions for a better post-COVID outcome.

#3: Computer Vision

Computer vision is an artificial intelligence field which trains computers to interpret and comprehend the visual world. It uses digital images from cameras and videos as well as deep learning models to recognise and distinguish objects correctly. With the help of algorithms, computer vision is also integrated to follow up with a programmed response. In current scenarios, computer vision has proved helpful in containing the outbreak and regulating quarantines and social distancing in cities across the world. In the future, where maintaining distance might become the norm, data scientists specializing in computer vision will automatically become more hire able.

#4: Data Storytelling

With data analytics becoming a prime concern for companies across industries, the need for good data storytelling has increased. The benefit of data analysis is not just in the evidence it provides but also in how it is made meaningful and impactful. Gripping storytelling makes it easier for non-data-scientist stakeholders to understand the value of the information and the possibilities it poses.

Data presented as contextual stories, rather than isolated data points, makes individuals more likely to understand the impact, decipher patterns and make more informed decisions.

In turn, as data storytelling would help business leaders with powerful insights, it would help them better prepare for the post-pandemic world’s opportunities.

 

#5: Explainable AI

Considering that AI has reached into nearly every area of human life, companies must be able to trust computers and their decisions. This is where the need for explainable AI emerges. Until now, companies build and sourced AI models that predicted accurate insights from large data dumps. In a post-pandemic world, they may well shift to models that also provide explanations for predictions. Explainable AI is a step forward in reducing the mistrust in non-human workflows. It makes AI systems more transparent and much fairer and all-inclusive than they were earlier.

Conclusion

Advanced data science skills are crucial to the cause of innovation and growth. Advanced upskilling is an integral step for data scientists looking to become more than relevant in the coming years.