They were exactly where you are today
I have enrolled in the Data Science Course with Placement Assistance. Going through this course has helped me feel more confident for jobs. I like how the content has been prepared and its easy to understand language. I think it's a very good course and I would highly recommend other job seekers to take it too.
Gurmehar
For me, the biggest highlight of the program was the real-world projects. They provide hands-on experience and help bridge the gap between theory and practical industry applications. Working on these projects gave me much more confidence in applying data science concepts to real business problems. This isn't my first course with Internshala, and one thing I've consistently appreciated is the quality of the learning experience. The content is thoughtfully organized, doubt support is prompt and effective, and the regular masterclasses conducted by industry experts provide valuable insights into current industry practices and expectations. Overall, I would definitely recommend this course to anyone looking to build a strong foundation in Data Science while gaining practical, project-based experience.
Kunal Dagar
I found the career-focused features, such as the AI mock interview, resume builder, and practice questions, very helpful for preparing for internships and job opportunities. What I particularly like is that it combines structured video lectures and quizzes with practical projects and assignments, which has helped me understand concepts through hands-on application rather than just theory. The regular masterclasses are another useful part of the learning experience, as they provide additional guidance and help reinforce important concepts. Overall, the course provides a well-structured combination of data science learning, practical exposure, and placement preparation. It has helped me strengthen my skills, work on practical applications, and become more confident in preparing for opportunities in the data and analytics field. I would recommend this program to learners who are looking for a structured and practical way to build their data science skills.
Arpit Mukherjee
I had a great experience with the Data Science course. The curriculum is thoughtfully designed to help students learn the skills that are in demand in today's industry. The projects included in the course are practical and go beyond the traditional mini-projects that have been used for years, making the learning experience more relevant and hands-on.
Sanskar Gupta
It offers good value for beginners and provides practical knowledge that can be applied in real workplace scenarios. I especially appreciated the placement assistance resources, such as resume-building guidance, interview preparation, and job application support, which made the course more career-focused. The lessons were easy to understand, with practical examples and assignments that helped reinforce the concepts. The course covers the fundamentals of HR in a clear and structured manner, including recruitment, onboarding, payroll basics, employee engagement, labor laws, and performance management. Overall, I would recommend this course to students, fresh graduates, and anyone looking to build a strong foundation in Human Resources or start a career in HR.
Sakshi Choudhary
I like the teaching style, and learning about a wide range of AI and digital marketing tools has been the most valuable part of the course. I have learned many new concepts, and I believe this course can help anyone looking to advance their career or grow their business, as it focuses on practical skills that are relevant to today's job market. The course has helped me move closer to my professional goal of building AI-enabled digital marketing skills and has significantly increased my confidence. If you're looking to upskill in digital marketing and AI, I would recommend this course. It covers practical concepts and introduces a variety of AI tools that are relevant in today's job market. To get the most out of it, stay consistent with the learning, complete the assignments, and actively apply the skills you learn in real-world projects.
Shruthi K
What I appreciate most is that it focuses not just on completing a certification but on building practical, job-ready skills. The combination of structured learning, expert-led masterclasses, and career support makes it a worthwhile learning experience. I especially enjoyed the resume-building masterclass, as it provided practical guidance that I'll definitely use while applying for future opportunities. I would recommend this course to anyone looking to build a strong foundation in HR, enhance their professional skills, and earn a certification that adds value to their career.
Priyanshi Chaudhary
The instructors explain everything step by step in the videos, including how to set up tools like VS Code before starting with the coding. They also explain the code and functions in a simple and easy-to-understand way. After each module, there is a quiz to help reinforce the concepts, and at the end of the course, there is a final test for revision. One of the features I found most helpful was the AI Interview, where I could practice my interview skills. There is also an option to apply to companies easily after completing the course. Thank you, Internshala, for helping me learn Web Development and making the learning process so smooth and practical.
Ashutosh Sharma
What impressed me the most was the quality of the content, the assessments, and the hands-on approach to learning. The program focuses on building job-ready HR professionals rather than just providing a certificate. The knowledge and confidence I gained through this course have significantly contributed to my professional growth. Overall, an excellent program that I would gladly rate 10/10.
Snadhay Gupta
I found the Digital Marketing course really helpful and wholesome. The best thing I find is that, it also provides us enough assignments and practice modules in order to be perfect at the skill. It includes all the required concepts that a person needs to know in order to learn Digital Marketing. Moreover, the trainer explains all the concepts with great clarity and perfection. Thankyou so much Internshala.
Niyati Mittal
19k
Opportunities posted every month dedicated to fresher hiring
1.5L
Data Science learners placed on Internshala
11 LPA
Highest salary offered
19k
Opportunities posted every month dedicated to fresher hiring
1.5L
Data Science learners placed on Internshala
11 LPA
Highest salary offered
19k
Opportunities posted every month dedicated to fresher hiring
1.5L
Data Science learners placed on Internshala
11 LPA
Highest salary offered
Internshala Trainings certificate
NSDC & Skill India certificate
Placement support from Top Industry Experts
Arpit
Data Science Instructor, Ex Paypal, Internshala
Shavna
Technical Interview Coach, Internshala
ATS-Friendly Resume & Cover Letters
Learn to create ATS-friendly resumes and cover letters customized for every job description
Project Presentation Skills
Learn to showcase and explain projects to recruiters
LinkedIn Optimisation & Networking
Strategies to make your LinkedIn profile stand out and how to use it for networking and referrals
Solve Real Interview Case Studies
Learn domain-specific business cases and problem-solving approaches
Articulate answers with STAR and CAR Framework
Learn to answer behavioral interview questions using STAR and CAR framework
Crack Technical Interviews
Expert strategies to succeed in technical interviews
Build evidence of your skills with 7 ready-to-ship projects
Build a sentiment analysis model in Python to analyze web-scraped data from product or service websites. Use Python packages for web scraping, data preprocessing, and transformation, and create an interactive Power BI dashboard to showcase customer satisfaction insights and sentiment patterns.
Leverage Excel for data extraction, cleaning, and analysis of social media metrics to uncover brand insights and optimize marketing strategies.
Design an interactive Power BI dashboard to analyze customer journey, purchase patterns, and retention trends. Implement data modeling, DAX, and dynamic visuals to uncover insights that drive business strategy.
Analyze logistic operations using SQL to identify delays, optimize delivery routes, and improve shipment efficiency for data-driven performance analysis.
Assess financial risks using Python by analyzing investment fluctuations, estimating potential losses, and evaluating portfolio performance in challenging market scenarios.
Conduct Market Basket Analysis by analyzing customer purchasing patterns using Python. Apply clustering algorithms to e-commerce data, using tools like pandas, NumPy, and scikit-learn to support personalized recommendations, product bundling, and strategic marketing.
Create an AI-powered system that classifies historical speeches into predefined categories using NLP and machine learning. Explore text analysis, model training, and speech prediction with real-world datasets.
Create ATS friendly resume that will get you shortlisted
Actionable Suggestions
Get suggestions to improve each section
ATS Optimised Resume
Tailor your resume with relevant keywords for a better job match
7.5x Higher Chances
Internshala's resume builder improves your shortlisting chances by 7.5X
Unlimited AI mock interviews so you nail your actual interviews
5X your chances of getting hired
Get instant alerts when top opportunities are posted
Your applications get highlighted with a priority badge
Skip the wait and directly contact the recruiter
Gain in-demand industry skills
Designed and built an Excel-based Social Media Intelligence Solution by extracting, cleaning, and analyzing social media performance metrics. Conducted ROI, engagement, and correlation analysis to evaluate the relationship between ad spend, follower growth, and campaign performance. Generated actionable brand insights through interactive dashboards, enabling data-driven marketing strategies and informed business decision-making.
Developed an interactive Customer Retention Analytics Dashboard in Power BI by integrating customer demographics, transactions, loyalty program, and store performance data. Performed data modeling and transformations using Power Query, and created calculated columns and DAX measures to analyze churn, repeat purchase behavior, customer lifetime value (CLV), and loyalty tier effectiveness. Delivered actionable insights that informed strategies to reduce churn, improve loyalty program efficiency, and enhance customer retention across retail channels.
Designed a SQL-driven logistics analytics system to optimize delivery routes, analyze delays, and improve shipment efficiency for large-scale e-commerce operations. Performed data cleaning and preprocessing by handling duplicates, null values, and inconsistent date formats. Applied advanced SQL queries, aggregations, CTEs, subqueries, and window functions to evaluate delivery delays, route efficiency, warehouse bottlenecks, and agent performance.
Developed a Python-based financial risk analysis system using transactional data to uncover customer behavior patterns and identify potential risk indicators. Performed data cleaning, segmentation, hypothesis testing, and anomaly detection, along with exploratory visualizations to highlight insights related to transaction trends, account performance, overdrafts, and balance volatility.
Conducted Market Basket Analysis on e-commerce datasets to identify customer purchasing patterns and behavioral trends. Leveraged Python libraries such as pandas, NumPy, and scikit-learn to apply clustering algorithms, enabling insights into personalized product recommendations, bundling opportunities, and strategic marketing initiatives. The analysis contributed to data-driven decision-making by aligning product strategies with customer needs.
Designed and developed an AI-powered Historical Speech Classification System using Natural Language Processing and Machine Learning to categorize speeches into predefined themes. Performed text preprocessing, feature engineering, model training, and prediction on real-world datasets, enabling accurate speech classification, deeper textual insights, and data-driven content analysis.
Built an end-to-end predictive modelling project using real-world data scraped. Designed a Python web scraping script to collect 1,000+ records from a public website. Cleaned and preprocessed raw data by handling missing values, duplicates, and inconsistencies. Performed Exploratory Data Analysis (EDA) to identify key trends, patterns, and anomalies. Applied a machine learning model (classification/regression/clustering) to derive predictive insights. Evaluated model performance to ensure reliability. Developed an interactive dashboard using Power BI. Translated technical results into business-friendly insights and recommendations.
Price valid till 22nd Aug
Unstructured job hunt vs Structured path to offer.