Internship In

Data Science

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Duration : 02 Months (Online)

Note: You can also select a custom duration (e.g. 1,3,4,5,6 month’s) as per your requirements at next step.

Starting From: Jan 24th ,2025 (Friday)
Last Date to Apply: Jan 23rd ,2025 till 11:59PM
Registration Form

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*This option gives your the leverage to postpone the program to a future date, leaving it blank will apply default schedule.

About This Opportunity

Solar Secure Solutions is a dynamic and innovative IT sector company committed to pushing the boundaries of technology. We are seeking a highly motivated and talented individual to join our team as an Artificial Intelligence Intern. This internship offers a unique opportunity to work on cutting-edge AI projects and gain hands-on experience in a fast-paced and collaborative environment.

Intern's day-to-day Responsibility :

Position Overview:
We are seeking a motivated Data Scientist Intern to join our dynamic team. This internship will provide you with hands-on experience in data analysis, machine learning, and statistical modelling. You will work closely with our data science team to support various projects and gain valuable insights into real-world applications of data science.

Key Responsibilities:

1.Assist in collecting, cleaning, and preprocessing large datasets from various sources.
2.Perform exploratory data analysis to identify trends, patterns, and anomalies.
3.Develop and implement machine learning models to solve business problems.
4.Collaborate with cross-functional teams to gather requirements and understand data needs.
5.Visualize data using tools like Tableau, Power BI, or matplotlib to present findings.
6.Document processes and communicate results to stakeholders.
7.Stay updated on the latest data science techniques and technologies.

Data Analysis and Interpretation:
Analyze and interpret complex data sets to provide actionable insights and recommendations.
Develop statistical models and algorithms to extract meaningful patterns and trends.

Machine Learning:
Design, implement, and deploy machine learning models to solve business problems.
Stay updated on the latest advancements in machine learning and apply them to enhance existing models.

Data Visualization:
Create clear and compelling data visualizations to communicate findings to both technical and non-technical stakeholders.
Utilize tools like Tableau, Power BI, or others to present insights in an accessible manner.

Collaboration:
Work closely with cross-functional teams, including business analysts, engineers, and stakeholders, to understand data requirements and deliver solutions.

Data Cleaning and Preprocessing:
Clean and preprocess raw data to ensure accuracy, completeness, and reliability.
Collaborate with data engineers to optimize data pipelines for efficiency.

Continuous Improvement:

Proactively identify opportunities for process improvement and automation in data-related workflows.
Contribute to the development and implementation of best practices in data science.

Skills you will learn during this Program :

Programming Languages:
Python or R: These are widely used for data analysis, machine learning, and building data science applications.

Statistical Analysis and Mathematics:
Statistics: Understanding statistical concepts is crucial for data analysis and interpretation.
Linear Algebra and Calculus: These mathematical foundations are essential for understanding machine learning algorithms.

Data Manipulation and Analysis:
Pandas: A powerful library for data manipulation and analysis in Python.
NumPy: Essential for numerical operations in Python.

Data Visualization:
Matplotlib and Seaborn: For static visualizations.
Plotly or Bokeh: For interactive and web-based visualizations.

Machine Learning:

Scikit-Learn: A popular machine learning library in Python.
TensorFlow or PyTorch: For deep learning and neural networks.

Database Knowledge:
SQL: For working with relational databases.
NoSQL Databases (e.g., MongoDB): Understanding non-relational databases.

Big Data Technologies:
Hadoop and Spark: Fundamental for processing and analyzing large datasets.

Data Cleaning and Preprocessing:

Data Wrangling: Techniques for cleaning and transforming raw data into a usable format.

Feature Engineering:
Understanding how to create new features from existing data to improve model performance.

Version Control:
Git: Essential for tracking changes in code and collaborating with others.

Communication and Presentation:

Data Storytelling: Effectively communicating findings to non-technical stakeholders.
Visualization tools like Tableau or Power BI: Creating interactive dashboards.

Qualifications :

Any graduate can apply.
Proficiency in programming languages such as Python or R.
Strong knowledge of statistical methods and machine learning techniques.
Experience with data visualization tools and techniques.
Excellent communication skills with the ability to convey complex findings to both technical and non-technical stakeholders.

Our Partners

Why Data Science ?

Rewarding Career | Exciting Opportunities

1.High Demand for Data Scientists:
Data science is a rapidly growing field, and there is a high demand for skilled professionals who can analyze and interpret data to drive business decisions. Many industries, including finance, healthcare, technology, and marketing, are actively seeking data scientists.

2.Diverse Applications:
Data science is versatile and applicable to various domains. Whether you are interested in healthcare, finance, e-commerce, or any other industry, the skills you acquire as a data scientist can be applied across different sectors.

3.Impactful Insights:
Data scientists play a crucial role in extracting meaningful insights from data. By analyzing patterns and trends, you can contribute to informed decision-making, helping businesses optimize processes, identify opportunities, and mitigate risks.

4.Innovation and Problem Solving:
Data science involves solving complex problems and developing innovative solutions. If you enjoy tackling challenges and using analytical skills to derive solutions, data science provides a stimulating environment for continuous learning and problem-solving.

5.Continuous Learning Opportunities:
The field of data science is dynamic, with new tools, techniques, and technologies emerging regularly. This offers ample opportunities for continuous learning and professional development. Staying updated with the latest advancements is an integral part of a data scientist’s journey.

6.Competitive Salaries:

Data scientists are often well-compensated due to the high demand for their skills. Organizations recognize the value of data-driven insights, and this is reflected in competitive salaries and benefits for professionals in the field.

7.Global Impact:
The insights derived from data can have a global impact. Whether it’s improving public health, optimizing supply chains, or addressing environmental challenges, data science has the potential to contribute to positive changes on a large scale.

8.Flexibility and Remote Work Opportunities:
Many data science tasks can be performed remotely, providing flexibility in work arrangements. This flexibility is especially attractive to those who value work-life balance and want to work from different locations.

9.Community and Collaboration:
The data science community is vibrant and collaborative. Engaging with professionals in the field through conferences, meetups, and online forums allows you to learn from others, share insights, and stay connected with the latest developments.

10.Career Growth and Advancement:
As a data scientist, there are various career paths available, including roles such as data engineer, machine learning engineer, or even transitioning into leadership positions. The skills acquired in data science open doors to diverse career opportunities.

Eligibility Criteria

Recommended

(Nice to Have)

Graduation in any stream.
Having Creativity, Designing Skill is a plus.
Good Logical and Analytical Reasoning ability.
Interest in computers, programming and coding etc.
A Basic Knowledge of python / R and data science concepts.

Essential

(Required)

Desire to learn.
Can give 2 to 3 hrs per day.
An active Email Account.
An active Internet connection.
A PC or Laptop (Windows/MAc/Linux)
Good understanding of English Language

Benefits

(What you will get)

24×7 Full Coding Support.
Internship Certificate & LOR.
100% Remote (Online) Opportunity.
Part-time, Flexible Hours, Do at your Ease.
Opportunity to work with us & our partners.
No previous coding experience is necessary.

Get Industry level certificate

Testimonials

Ankita Verma
Ankita Verma
Data Analyst at TCS
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"My internship in data science was a game-changer for me. The hands-on projects and real-world applications helped me gain confidence in my skills. The mentorship provided was invaluable, guiding me through complex concepts and enhancing my analytical abilities. I am grateful for this experience, which played a crucial role in landing my job at TCS!"
Arjun Patel
Arjun Patel
Data Scientist at Infosys
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"The data science internship was an incredible opportunity to apply theoretical knowledge to practical problems. The curriculum was well-structured, focusing on both technical skills and soft skills. I learned to work collaboratively in teams, which proved essential during my interview process at Infosys. This internship truly set me apart!"
Neha Verma
Neha Verma
Business Intelligence Analyst at Wipro
Read More
"I had a fantastic experience during my data science internship. The exposure to various tools and techniques in data analytics equipped me with the skills needed for my role at Wipro. The support from instructors and peers fostered a collaborative environment that made learning enjoyable. I highly recommend this internship to anyone serious about a career in data science."
Karan Mehta
Karan Mehta
Machine Learning Engineer at Accenture
Read More
"My internship experience was enriching and transformative. The hands-on projects not only deepened my understanding of machine learning algorithms but also allowed me to showcase my abilities during interviews. I’m thrilled to have secured a position at Accenture, and I owe much of my success to the practical experience gained during the internship!"
Sneha Joshi
Sneha Joshi
Data Engineer at HCL
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"Completing my data science internship was a pivotal moment in my career journey. The training provided helped me master key concepts and tools that I now use daily at HCL. The internship also emphasized problem-solving and critical thinking, skills that impressed my interviewers. I couldn't have asked for a better start to my career!"
Vikram Singh
Vikram Singh
Data Consultant at Deloitte
Read More
"My data science internship was a fantastic experience that laid the foundation for my career. The hands-on projects allowed me to apply theoretical knowledge in practical scenarios, which was crucial during my interviews. I am now a Data Consultant at Deloitte, and I truly believe that this internship was a significant stepping stone for me."
Anita Rao
Anita Rao
Data Scientist at Flipkart
Read More
"The internship was instrumental in my professional growth. I learned about data visualization, machine learning, and statistical analysis, which were essential in securing my position at Flipkart. The guidance from mentors was exceptional, and the networking opportunities provided were invaluable. I can’t thank this program enough!"
Rohit Agarwal
Rohit Agarwal
AI Researcher at Google
Read More
"This internship opened doors I never thought possible. The projects challenged me to think critically and creatively, which is crucial in my current role at Google. The collaborative environment fostered innovation and allowed me to connect with industry professionals, enhancing my learning experience tremendously."
Pooja Menon
Pooja Menon
Data Engineer at Siemens
Read More
"My experience during the data science internship was nothing short of transformative. The blend of theoretical knowledge and practical application prepared me well for my role at Morgan Stanley. The supportive learning environment made it easy to grasp complex concepts, and I feel fully equipped to tackle challenges in the finance sector now."
Sameer Khanna
Sameer Khanna
Data Engineer at Tech Mahindra
Read More
"This internship exceeded my expectations! The curriculum was comprehensive, covering everything from data wrangling to advanced analytics. The practical assignments were particularly beneficial, giving me the skills needed to excel in my position at Tech Mahindra. I highly recommend this program to anyone looking to build a career in data science."
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Aisha Malik
Aisha Malik
Analytics Specialist at Zomato
Read More
"My internship was a launching pad for my career in data science. The hands-on training in data analytics tools was invaluable, and the projects helped me build a strong portfolio. I'm proud to say that I secured a role as an Analytics Specialist at Zomato right after completing the internship. It was an amazing journey!"
Karan Sethi
Karan Sethi
Data Analyst at Cognizant
Read More
The program also includes career development resources, helping me polish my resume, prepare for interviews, and navigate the job market. If you're serious about a career in web development, this program is the perfect launchpad.
Nitin Yadav
Nitin Yadav
Machine Learning Engineer at HDFC Bank
Read More
"My internship was an incredible journey that prepared me for the fast-paced world of data science. The hands-on projects and exposure to industry tools gave me the confidence I needed to excel in my role as a Business Analyst at Paytm. This experience was invaluable for my career!"
Divya Nair
Divya Nair
Insights Analyst at Samsung
Read More
"My internship experience was fantastic! I learned how to apply data science techniques to solve real business problems, which directly contributed to my success at Samsung as an Insights Analyst. The mentors were supportive and always available to help. I highly recommend this program to aspiring data scientists!"
Akash Choudhury
Akash Choudhury
Data Engineer at Siemens
Read More
"The internship was a great way to bridge the gap between theory and practice. The comprehensive training on various data tools was crucial in helping me secure my position at Siemens. I appreciated the collaborative environment and the hands-on projects, which were both challenging and rewarding."
Neelam Verma
Neelam Verma
Data Scientist at Ola
Read More
"My data science internship was a pivotal experience that equipped me with the skills I needed for my role at Ola. The curriculum covered everything from machine learning to data visualization, and the mentorship was exceptional. I am excited to start my journey in the data science field, all thanks to this internship!"
Siddharth Mehta
Siddharth Mehta
Data Analyst at Zomato
Read More
"My internship was an eye-opening experience that solidified my passion for data science. The projects I worked on were relevant and challenging, which greatly prepared me for my role at Zomato. The skills I gained, particularly in data visualization, were instrumental during my job interviews!"
Anjali Joshi
Anjali Joshi
Research Analyst at McKinsey & Company
Read More
"This data science internship was a game-changer for me. The structured approach to learning and real-world applications made complex concepts easier to grasp. I am now a Research Analyst at McKinsey, and I attribute much of my success to the hands-on experience I gained during the internship."
Vivek Nair
Vivek Nair
AI Engineer at Microsoft
Read More
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Meera Kapoor
Meera Kapoor
Data Scientist at Accenture
Read More
"I had an amazing experience during my data science internship! The projects were engaging and relevant, and I learned a great deal about data analysis techniques that are crucial for my role at Accenture. The networking opportunities also helped me connect with industry professionals, which was invaluable."
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Duration: 2 Months

Starting From: Jan 24th ,2025 (Friday)
Last Date to Apply: Jan 23rd ,2025 till 11:59PM
Time left for last date to apply :
Registration Form:

Note: You can also select a custom duration (e.g. 1,3,4,5,6 month’s) as per your requirements at next step.

Please enable JavaScript in your browser to complete this form.
*Kindly fill your complete name which you want to display on your certificate.
*This option gives your the leverage to postpone the program to a future date, leaving it blank will apply default schedule.
Read Before you apply

Note: To ensure candidate seriousness and filter the right candidates among hundreds of daily inwards applicants and maintaining quality throughout the session, We have decided to charge a one-time registration Fee of 999/- INR. (which includes your Certification, Documentation, Specific projects tasks related to briefing and training by the Instructor/firm.)

About Stipend: Stipend is subjected to the Terms and Conditions of the Solar secure Solutions and the performance of the candidate and the same shall be provided only if we assign you any work/job/stipend task/stipend opportunity and you complete it, (means you contribute in company’s revenue by any way) the range of the stipend may vary from 10,000- 18000/-INR or More.

Process: You will receive an acknowledgement mail containing your Internship Offer letter by the end of the day after your successful registration with one time internship registration fee payment. Then you will receive your next mail just one day before your internship day, which would contain the link of your Task portal, its Credentials and some important instructions with Deadlines. In case of any assistance contact us at support@solarsecure.in or call us at +91-8317002024

FAQs

Procedure to register:

–>Go to the Internship registration page , Check details
–>Fill up the registration form
–>Complete the registration
–>After successful submission you will get an acknowledgment mail by the team for successful registration stating that your internship offer letter will be generated by the support team and will be send on the starting date of Internship along with the Internship Portal access with password in the portal access mail .

Thank You,
Support Team

Skills: No Special skills are required. However Having a knowledge of HTML, CSS and JavaScript is a plus.

Educational Qualification: Any Graduate, B.E., B.Tech. will be preferred (All years)

The working hours are flexible in the internship . you have to work in your Own time . Minimum 2 hours are mandatory (Mon-Fri) .
You will be working in our Internship task portal with login id and password protection.

Only 4 tasks per day you have to complete . Make notes . And, watch the session again if not understood . Take time.. Since in real major project you have to implement the learning . Per day only login for 2 hours .

The mode of working will be completely Remote(Online), so you can work at the ease of your home.

We have integrated a 24×7 hrs available assistance for all your coding related problems, it can check and solve codes, generate new codes and even entire project for you. this feature is available for only registered candidates on their Task Portal.

Our USA HQ track the performance of the candidates and create a record at their end, so whenever we need any permanent employee, we call them for online screening/interview from top to bottom rankings based on their performance and number of vacancies. moreover we also get updates from our clients, clients of the clients and partners if they do have any vacancy/vacancies so we will send you the notifications of them also, but since they have their own protocols so you need to go through all the screening or interview rounds whatever they conduct. And same goes with the real client’s Projects and stipend associated with it.

Yes. You will get proper training with 24×7 full coding support during your entire program.

You can reach us at anytime by either mailing us at admin@globaldigitalbharat.com

Please note that due to havey traffic on the website we sometimes may not entertain your calls, In such cases kindly WhatsApp us at +91-8317002024 for quick resolution of your query and the next available agent will join you soon, Apologies for the inconvenience.

1.Internship completion Certificate ,MSME (Government of India) and AICTE approved certifications, which is applicable in all industries.

2.Letter of recommendation (LOR)

For any queries regarding Internship , WhatsApp us here +91-8317002024(Support)

All the software/tools that you need for the Internship would be shared with you during the Internship as and when you need it.

You can watch the sessions and take quizzes & tests on any device including mobile. However, for LIVE sessions, assignments and practice, use of desktop or laptop is required.

Meet Our Ex-Interns

Mohit Kumar

Aspiring full stack web developer | Html | CSS | JavaScript | jQuery| Node.js | MongoDB

Shreya Mittal

Goldman Sachs | Generation Google Scholar | WE Scholar | IGDTUW CSE

Hansika Singhal

Enthusiastic learner

Shantanu Basak

Web Developer @Lambdatest

Abhishek Rawat

Full Stack Web developer

Kushal Suthar

SOFTWARE ENGINEER || Appian || Xebia | Appcino

Thamizh Gnanam K S

Java Full Stack Developer

Lakshya Soni

Incoming Graduate Analyst @Deutsche Bank

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