Master Data Science from Scratch Become Job-Ready in 9 Months!
- Learn Python, SQL, Excel & Visualization Tools
- Hands-on Projects + Capstone Assignment
- No Coding Background Required
- Placement Assistance & Certification
- Weekend & Weekday Batches Available
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100% placement Or
Money back
6-9 Months Duration
Package upto 8 LPA
Projects by IIT Experts
Course Key Features
Comprehensive Curriculum
Covers everything from Python programming to machine learning algorithms, ensuring a strong foundation in data science.
Hands-on Learning
Includes real-world case studies, projects, and a capstone assignment to build practical experience.
Expert Instructors
Learn from industry experts who simplify complex topics with practical examples.
Industry-Standard Tools
Gain proficiency in Python, SQL, Excel, Tableau, and more for data analysis and visualization.
Skills Students Will
Acquire
Data
Wrangling
Cleaning and preparing data for analysis.
Time Series Forecasting
Analysing time-dependent data for future predictions.
Statistical Analysis
Understanding & applying concepts like probability, hypothesis testing, & regression.
Data Visualisation
Creating charts, graphs, and dashboards to present data insights.
Machine Learning
Building predictive models using algorithms like linear regression, classification, and clustering.
Natural Language Processing (NLP)
Processing and analyzing textual data for tasks like sentiment analysis.
Exploratory Data Analysis
Analyzing datasets to summarize their main characteristics.
Data Communication
Presenting data findings and insights effectively for business decision-making.
Tools Students
Will Learn
Python
Primary programming language for data science.
SQL
For querying and manipulating databases.
Excel
For data analysis and visualization.
Tableau
Data visualization tool for creating interactive dashboards.
Power BI
Another tool for data visualization and reporting.
Pandas
Pandas is a versatile data manipulation library in Python.
Power Query
Power Query is a data connection technology that enables users to discover.
Numpy
Numpy is a fundamental library for numerical computing in Python
Eligibility Criteria
Open to All Academic Backgrounds: Whether you have a technical or non-technical background, you can apply.
No Prior Experience Required: This course is ideal for beginners and freshers with no prior work experience.
Fresh Graduates & Aspiring Professionals: Suitable for recent graduates and anyone looking to start a career in data science.
Anyone Interested in Data Science: Whether you’re a student or a professional, this course is designed to help you transition into data science roles.
Job Roles for Data Science Graduates
Data Scientist
Responsibilities: Analyze structured and unstructured data to extract insights, build predictive models, and help organizations make data-driven decisions using machine learning algorithms.
Data Analyst
Responsibilities: Clean, process, and analyze data to support business decisions. They focus on creating reports, dashboards, and visualizations for stakeholders.
Business Intelligence Analyst
Responsibilities: Utilize data visualization tools like Tableau and Power BI to create dashboards that highlight key business metrics and trends.
Data Engineer
Responsibilities: Design, build, and maintain data pipelines that ensure efficient data collection, storage, and access. Data engineers work closely with data scientists to ensure the data is clean and structured for analysis.
Machine Learning Engineer
Responsibilities: Develop and deploy machine learning models that automate decision-making processes. They work on training models, fine-tuning, and optimizing them.
Quantitative Analyst
Responsibilities: Apply statistical methods and machine learning to solve complex problems in finance, economics, or other industries requiring predictive modeling.
Business Data Scientist
Responsibilities: Leverage data science techniques to solve business problems, support decision-making, and create business strategies by integrating technical insights with business acumen.
Data Science Consultant
Responsibilities: Provide expert advice to organizations on how to use data science to optimize processes, improve efficiency, and support strategic decision-making.
Research/Data Associate
Responsibilities: Assist in research by collecting, analyzing, and interpreting data for academic or commercial projects. Often supports the development of new algorithms or products.
Operations Analyst
Responsibilities: Use data to identify operational inefficiencies, optimize processes, and improve business outcomes through data insights.
Course Details
Duration: 6-9 Months (Weekend & Weekday Batches Available)
Course Mode: Blended Learning (Online + Hands-On Projects)
Prerequisites:
No prior coding experience required. Open to individuals from all academic backgrounds.
Key Features:
100% Practical Training with Real-World Projects
Hands-on Experience with Tools like Python, SQL, Excel, and Tableau
Placement Assistance & Mock Interviews
Access to LMS & Recorded Sessions
Learn from Industry Experts
Certifications:
Earn 10+ Industry-Recognized Certifications upon completion
Capstone Project showcasing your skills
Career Outcomes:
Data Scientist, Data Analyst, Business Intelligence Analyst, and more
Learn essentia
Capstone Projects
Each course includes hands-on capstone projects designed to reflect real-world industry scenarios. These projects help students gain practical experience and build a strong portfolio.
Data Science and Gen AI & ML:
Predictive Modeling using Python and Scikit-learn Real-time Chatbot with Generative AI models (LLMs) Customer Segmentation and Recommendation System using ML
Full Stack Web Development:
E-commerce Website with Admin Panel Job Portal with Frontend (React) and Backend (Node.js) Blogging Platform with Authentication and APIs
Cybersecurity and GRC:
Risk Assessment for a Simulated Enterprise Network Creation of GRC Framework for a Cloud Infrastructure Incident Response Simulation for Cyber Threats
Cloud Computing:
Cloud Migration of a Web Application (AWS/Azure) Serverless Architecture Implementation Building and Deploying a CI/CD Pipeline
Job Preparation
Resume Building and LinkedIn Profile Optimization
Mock Interviews with Industry Experts
One-on-One Career Mentorship Sessions
Weekly Hiring Updates & Job Alerts
Soft Skills and Communication Training
Placement Assurance
Note: Placement is based on performance, participation, and readiness. We offer Placement Support and Assistance through:
Tie-ups with hiring partners and startups
Dedicated placement team to schedule interviews
Real-time project experience to showcase skills
Job referrals via our alumni network
Our Students Have Been Placed At Leading Companies
Trusted by Thousands Proven by Results
About Mentor
Our mentors are seasoned professionals with years of industry experience: Each mentor brings real-world knowledge, 1:1 mentoring sessions, and live doubt-solving support.
Data Science Mentor:
12+ years in AI/ML, worked with Fortune 500 companies
Web Development Mentor:
Full-stack developer with 10+ years in MERN stack
Cybersecurity Mentor:
Certified CISSP, worked in defense-grade security projects
Cloud Computing Mentor:
Cloud Architect certified in AWS and Azure
Why Choose Us
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Our Hiring Partners
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Enrollment Process
1. Visit the Course Page
2. Click on Enroll Now
3. Fill the Registration Form
4. Pay the Course Fee Online
5. Get Instant Access to Learning Portal
6. Attend Live Classes and Access Learning Materials
Testimonials Student Reviews
Before this course, I was working in a non-tech role. The Data Science and AI projects gave me the confidence and skills to land my first role as a Data Analyst at a fintech startup.
The Full Stack Web Development course had everything — live sessions, real-world projects, and responsive mentors. I got placed as a junior developer within 3 months!
The Cloud Computing course was incredibly detailed. The hands-on labs and capstone project helped me clear my AWS certification and land a DevOps role.
Before this course, I was working in a non-tech role. The Data Science and AI projects gave me the confidence and skills to land my first role as a Data Analyst at a fintech startup.
Certificate of Completion
All learners who successfully complete their course and capstone project will receive a verified Certificate of Completion.
FAQ's
Q1. Are the courses beginner-friendly?
Q2. What is the duration of each course?
Q3. Are there live classes or recorded videos?
Q4. Do I need to have prior coding knowledge?
Q5. How does the placement support work?
Topsqill Academy
Master Data Science from Scratch Become
Job-Ready in 90 Days!
Address :Bhutani Techno Park B-439
Sector 127 Noida, Uttar Pradesh
PIN : 201313
Phone : +919355135887
