IBM Data Science Placement Program

🕒 Course Duration Options:

1. 6-Month Fast Track:

   • Complete the entire course in just 6 months!
   • Engage in an intensive learning experience with 4 live sessions per week.
   • Immerse yourself in 65 live sessions, ensuring a swift yet comprehensive mastery of the curriculum.

🌐 Why Choose Your Duration:

1. Flexibility Tailored to You: Whether you’re looking for a swift career transition or prefer a more extended exploration of each module, our dual-duration options cater to your unique needs.

2. Customized Learning Experience: Adapt your schedule based on your professional and personal commitments. We believe in providing you with the flexibility to excel without compromising your lifestyle.

3. Live Sessions for Real-Time Interaction: Benefit from interactive live sessions, ensuring you receive personalized attention and immediate clarifications on complex topics.

4. Comprehensive Curriculum Coverage: Regardless of the duration you choose, rest assured that our curriculum is designed to equip you with the skills and knowledge demanded by the industry.

🌐 What are the timings of live classes?

🕒 Live Class Timings:

• Time Range: 7 AM to 11 PM
• Scheduling: Any 2 hours can be scheduled based on your preferences through the learner’s learning management system (LMS).

🌟 Unique Learning Experience:

1. Personalized Scheduling: Select the 2-hour time slot that aligns perfectly with your daily routine. We empower you to decide when you’re at your prime for learning.

2. Recorded Sessions: Can’t make it to the live class? No worries! Every live session will be recorded and shared with you for future reference. Relive the content at your convenience.

3. 24/7 Access to LMS: Your learning doesn’t stop with live classes. Explore additional resources, engage in discussions, and access course materials anytime through our learner’s learning management system.

4. Interactive Learning Platform: Experience the best of both worlds – engage in real-time interactions during live classes and explore recorded sessions for revision or deeper understanding.

🎓 Why Choose Our Timings:

1. Work-Life Balance: We prioritize your work-life balance by letting you decide when to dedicate time to your education without compromising your professional or personal commitments.

2. Global Accessibility: Regardless of your time zone, our flexible scheduling ensures that you can participate in live classes or catch up on recorded sessions at your convenience.

3. Efficient Learning: By tailoring your learning to your most productive hours, you maximize the efficiency of your study sessions, ensuring optimal comprehension and retention.

🌐 Can we select the instructors?

1. UK Instructor: Immerse yourself in the expertise and nuances of a UK-based instructor. Benefit from a global perspective and enrich your learning with insights from across the pond.

2. North Indian Instructor: Connect with an instructor from the vibrant North Indian region. Delve into the subject matter with an educator who understands the diverse cultural and educational landscape.

3. South Indian Instructor: Choose an instructor from the dynamic South Indian region. Experience learning with someone who brings regional insights and a unique approach to the curriculum.

Empower Your Learning Experience: Choose Your Ideal Instructor!

At our Data Science and Python Bootcamp, we believe that learning is not just about the content; it’s about the connection you establish with your instructor. That’s why we offer you the unique privilege of selecting your preferred instructor, tailoring your educational journey to your preferences. Choose from our expert instructors based on your comfort and learning style:

👩‍🏫 Instructor Options:

1. UK Instructor: Immerse yourself in the expertise and nuances of a UK-based instructor. Benefit from a global perspective and enrich your learning with insights from across the pond.

2. North Indian Instructor: Connect with an instructor from the vibrant North Indian region. Delve into the subject matter with an educator who understands the diverse cultural and educational landscape.

3. South Indian Instructor: Choose an instructor from the dynamic South Indian region. Experience learning with someone who brings regional insights and a unique approach to the curriculum.

🌐 Why Choose Your Instructor:

1. Cultural Affinity: Select an instructor who resonates with your cultural background and communication style, fostering a more comfortable and engaging learning environment.

2. Learning Preferences: Different instructors may have varied teaching styles. Choose the one that aligns with your preferred learning approach, ensuring a more effective and personalized educational experience.

3. Global Perspectives: Opt for a UK Instructor to gain international perspectives or choose a North or South Indian Instructor for a more region-specific understanding. Broaden your horizons or dive deeper into local insights.

4. Enhanced Connection: Building a connection with your instructor enhances the learning journey. Choose an educator who inspires and motivates you, creating a positive and enriching educational experience.

🌐 Is there any Internship from IBM?

Elevate Your Learning with Real-World Experience: IBM-Powered Internship Included!

Embark on a journey of practical application and hands-on experience with our Data Science and Python Bootcamp, where we bring you the exclusive opportunity of a 2-month live online internship directly from IBM. This isn’t just an internship; it’s a chance to apply your newfound skills in a real-world setting and make a tangible impact.

🌐 Internship Details:

Duration: 2 Months

Internship Partner: IBM

Stipend: ₹41,000 per month

Internship Format: Live Online

Internship Experience:

1. Real-world Application: Immerse yourself in the dynamic realm of data science by working on live projects curated by IBM. Apply your knowledge to solve industry challenges and gain invaluable practical insights.

2. Mentorship by IBM Experts: Benefit from mentorship by seasoned professionals from IBM, providing you with guidance, feedback, and industry best practices. Leverage their expertise to enhance your skills and broaden your understanding.

3. Networking Opportunities: Connect with professionals within the IBM network, expanding your industry contacts and opening doors to potential career opportunities. Networking is a key component of a successful internship experience.

4. Stipend Support: Receive a stipend of ₹41,000 per month, acknowledging your dedication and commitment during the internship. This not only recognizes your efforts but also adds a tangible aspect to your learning journey.

🚀 Why Choose Our IBM-Powered Internship:

1. Industry-Relevant Experience: The internship with IBM ensures that you’re not just learning theories but actively applying them in a real-world setting, aligning your skills with industry demands.

2. Global Recognition: Having IBM on your internship experience adds a prestigious touch to your resume, signaling to future employers that you’ve been trained and endorsed by a global technology leader.

3. Financial Recognition: The stipend provided reflects our acknowledgment of your commitment and dedication during the internship, supporting you as you invest in your education and career.

🌐 How many certificates are there?

We take pride in ensuring that your dedication and mastery are acknowledged through a comprehensive set of certificates that will set you apart in the competitive landscape.

🏆 Certificates Offered:

1. IBM Data Science Professional Certificate:

   • Backed by the global technology giant, IBM, this certificate attests to your proficiency in data science, providing you with a mark of excellence recognized worldwide.

2. PGP Certification from IAQMC:

   • The Post Graduate Program (PGP) certification from IAQMC signifies the successful completion of a rigorous and comprehensive data science curriculum, positioning you as a qualified professional in the field.

3. Project Completion Certificate from IAQMC:

   • Showcase your practical skills and project implementation with a certificate recognizing the successful completion of hands-on projects within the program.

4. 162 Hours Professional Development Units Certificate:

   • Demonstrating your commitment to continuous learning, this certificate acknowledges the 162 hours of professional development units gained throughout the program.

5. Internship Certificate from IBM:

   • Seal your real-world experience with a certificate from IBM, a globally recognized technology leader. This credential not only highlights your internship but also serves as a testament to your application of data science skills in a live setting.

🌐 Why Our Certificates Matter:

1. Global Recognition: All certificates are globally recognized, providing you with credentials that transcend geographical boundaries and are valued by employers worldwide.

2. Industry Endorsement: Backed by IBM and IAQMC, these certificates carry the weight of industry recognition, signaling to employers that you’ve been trained and certified by leaders in the field.

3. Comprehensive Skill Validation: Each certificate is a testament to a specific aspect of your learning journey, from theoretical knowledge to hands-on project implementation and real-world internship experience.

🌐 Which modules are covered from basic to advance? 

Python for Data Science, R Programming, SQL, Machine Learning, Deep Learning, Neural Language Processing, Artificial Intelligence, Power BI, Data Analytics Essentials, Github, and Advance Excel

🌐 What all tools are covered?

Tableau, Numpy, Panda, Hadoop, Jupityr, Matlab, BigML, Apache Spark, D3, SAS, and Scala

Partnership

1. Data Science and Python Bootcamp Syllabus

   Duration: Flexible (Asynchronous Learning)

   Module 1: Introduction to Data Science and Python Programming

   • Understanding the Data Science Era
   • Data Science in Various Industries
   • Business Intelligence vs Data Science
   • Data Science Life Cycle
   • Tools of Data Science Overview
   • Introduction to Python Programming
   • Basics of Machine Learning

   Module 2: Python Programming Fundamentals

   • Basic Operations in Python
   • Variable Assignment
   • Functions: In-built and User-Defined
   • Conditional Statements: if, if-else, nested if-else, else-if
   • Introduction to Data Structures
   • List Operations: Slicing, Splicing, Sub-setting
   • Dictionary Operations: Indexing, Value
   • Modules and Packages
   • Regular Expressions (Regex)

   Module 3: SQL for Data Science

   • Introduction to SQL
   • Basic SQL Statements
   • Advanced SQL: Searching, Sorting, Grouping
   • Accessing Databases using Python

   Module 4: Numpy & Pandas

   • Numpy Basics: Data Types, Dimensions of an Array
   • Array Operations: Indexing, Slicing, Splicing, Sub-setting
   • Loops in Python: For, While
   • Pandas Introduction and Setup
   • Pandas Data Structures: Series, DataFrame, Panel
   • Pandas Basic Functionality, Reindexing, Iteration
   • Pandas Sorting and Missing Data Handling

   Module 5: Statistics for Data Science

   • Introduction to Statistics
   • Descriptive Statistics
   • Statistical Functions
   • Measures of Centers: Mean, Median, Mode
   • Measures of Spread: Variance, Standard Deviation
   • Probability and Distributions
   • Hypothesis Building and Testing
   • Correlation Matrix

   Module 6: Scientific Computing & Python

   • Introduction to SciPy
   • SciPy Sub-packages: Integration, Optimization, Linear Algebra, Statistics

   Module 7: Data Analysis & Wrangling

   • Data Analysis Pipeline
   • Data Extraction and Types
   • Exploratory Data Analysis
   • Data Wrangling Techniques

   Module 8: Machine Learning

   • Machine Learning Overview
   • Data Preprocessing
   • Introduction to Scikit-Learn
   • Regression: Linear, Logistic
   • Dimensionality Reduction: PCA, Factor Analysis
   • Classification Algorithms: K-nearest neighbors, SVM, Naive Bayes
   • Ensemble Techniques: Decision Tree, Random Forest
   • Unsupervised Learning: Clustering Algorithms
   • Recommendation Engine and Time Series

   Module 9: Data Visualization

   • Matplotlib
   • Seaborn
   • Various Plots: Bar, Histogram, Box, Area, Scatter, Pie

   Module 10: Additional Topics

   • Artificial Intelligence Overview
   • AWS Fundamentals
   • Power BI Introduction
   • Data Analytics Essentials

   Internship (2 Months)

   Module 11: Specialization – Choose one of the following:

   • Computer Vision or
   • Natural Language Processing (NLP)

   Module 12: Live Projects

   • Work on real-world projects in collaboration with an internship company
   • Access to Virtual Cloud-based Linux System