DATA SEEKHO Data Science Mastery Program & Fellowship
The Data Science Mastery Program at Data Seekho is designed for beginners, guiding them step by step through the world of data science. Even with no prior experience, you can reach expert-level skills through our well-structured curriculum and supportive learning environment.
“We are on a mission to empower 1M Students to excel in Data Science, Data Analytics, Data Engineering, and Business Intelligence, propelling them to land their dream data careers and distinguish themselves among the top 1% in this competitive field worldwide by 2028.”
DATA SEEKHO PORTFOLIO
Data Seekho
- On a Mission to Educate and Empower 1000,000 students by end of 2025
- On a vision to help you to become Top 1% in this competitive field
Data Seekho Highlights
- Reached: 100,000 students.
- Educated: 70,000+ students.
- Awarded Badges to: 1,000+ students.
- Provided personalized mentorship to: 100+ students.
Mega Workshops + Webinars
- On a Mission to Educate and Empower 1000,000 students by end of 2025
- On a vision to help you to become Top 1% in this competitive field
Careers You Can Start After Our Program
Data Analyst
Emphasize data extraction, manipulation, and visualization to drive actionable insights.
Data Scientist
Specialize in predictive modeling, data-driven decision-making, and complex data analysis techniques.
Machine Learning Engineer
Focus on designing and implementing machine learning applications and systems.
READY TO JOIN DATA SCIENCE MASTERY PROGRAM?
Unlock your potential and step into the future of technology with our comprehensive Data Science Mastery Program. Whether you’re a beginner or looking to sharpen your skills, this course offers real-world projects, hands-on learning, and expert mentorship. Don’t Just Learn—Become a Data Science Professional!
WEEKLY COMMITMENT (18 hours/weekly)
Online ZOOM Classes
Saturday & Sunday
Step 1
LIVE-Sessions
Two 2.5-hour classes per week.
Step 2
Assignments & Projects
7-8 hours per week
Step 3
Self-Learning Time
7-8 hours per week
Step 4
DSMP Modules
- Session 1:
- What is Data Science?
- Overview of data science, its evolution, and its impact on industries.
- Session 2-3:
- Getting Started with Python.
- Basics of Python: data types, control structures, functions.
- Setting up Python with Anaconda and Jupyter Notebooks.
- Session 4:
- Math for Data Science.
- Algebra, calculus, and numerical methods.
- Python exercises for mathematical concepts.
- Module 1 Project: Solve mathematical problems using Python.
- Session 1-2:
- Statistical Thinking with SQL.
- Basics of probability and statistical.
- Using SQL for data extraction and analysis.
- Session 3:
- Data Manipulation with Pandas and PySpark.
- Data cleaning and preparation with Pandas.
- Big data workflows with PySpark.
- Session 4:
- Mastering Git and GitHub.
- Version control basics with Git.
- Using GitHub for collaboration.
- Module 2 Project:
- Statistical analysis with SQL and PySpark, documented on GitHub.
- Session 1-2:
- Visualizations with Power BI.
- Using Power BI, Matplotlib, and Seaborn for data visualization.
- Session 3-4:
- Data Exploration with Power BI & Apache Superset.
- Data analysis to identify trends and insights.
- Module 3 Project:
- Create a data analysis report with Power BI and Superset.
- Session 1-2:
- Supervised Learning Techniques.
- Linear models, Decision trees, and SVMs.
- Practice through Kaggle competitions.
- Session 3-4:
- Unsupervised Learning.
- Clustering and dimensionality Reduction.
- Module 4 Project:
- Kaggle competition involving prediction or classification.
- Session 1-2:
- Basics of NLP
- Text processing: tokenization, vectorization.
- Session 3-4:
- NLP with Deep Learning
- Building classifiers using PySpark.
- Module 5 Project:
- Develop an NLP model for sentiment analysis.
- Session 1-2:
- AWS Essentials.
- Overview of AWS components for data science.
- Session 3-4:
- Machine Learning with AWS.
- Using Amazon Sagemaker and AWS Lambda.
- Module 6 Activity:
- Analyze data using MLOPs.
- Session 1-2:
- Introduction to Apache Airflow.
- Overview and setup of Apache Airflow.
- Session 3-4:
- Advanced Airflow Concepts.
- Scheduling and monitoring workflows.
- Module 7 Project:
- Build a data pipeline using Apache Airflow.
- Full Week:
- Develop a comprehensive project integrating skills from the program.
- Weekly Mentor Check-Ins:
- Regular feedback and guidance.
- Weekend Activity:
- Document project progress in a video tutorial.
- Â
- Session 1:
- Preparation for Capstone Presentations
- Session 2:
- Presentation to Industry Experts
- Session 3:
- Mock Interviews
- Session 4:
- Career Workshops
ADMISSION PROCESS
Admission Form
Fill out the admission form.
Step 1
20-minute interview
20-minute interview to discuss your background, commitment, motivation, and goals.
Step 2
Shortlisting
Review & shortlisting of Applicants.
Step 3
Enrollment
Enrollment in DSMP
Step 4
What Our Students Say About Us?
Transform Your Future with Data Science Mastery!
Are you ready to unlock high-paying career opportunities and be at the forefront of innovation? Our Data Science Mastery Program is your gateway to a world of endless possibilities!
