Data Science Training - Brochure

1. Data Science Training - Brochure

2. Why take up Data Science Training? Today, Data science is one of the fastest-growing fields in the job market. Organizations across industries are actively seeking professionals with Data Science skills to derive insights from vast amounts of data and make data-driven decisions. Whether it’s predicting customer behaviour, optimizing business processes, or developing machine learning models, Data Science empowers you to solve real-world problems. Data scientists are in high demand and often command attractive salaries in the US in the range of USD 79,000 to USD 130,000 per annum. And with the right training and experience, you can unlock various career opportunities and enjoy competitive compensation.

3. Who can take up DATA SCIENTIST TRAINING? Job roles that can find Data Scientist training beneficial are: Students Business Analysts Engineering Freshers Research Scientists Data Analysts Statisticians Machine Learning Engineers IT Professionals Data Engineers Aspiring Data Scientists Anybody who is interested in learning what it entails to become a Data Scientist. Even if one is from a Non-IT background looking to shift their domain can be part of this Data Scientist training program.

4. Why Take up DATA SCIENTIST TRAINING FROM SPOCLEARN? 4-Month interactive instructor-led Data Scientist training z z 100% Money-Back Guarantee Expert Data Science trainers across the globe z Data Science course material prepared by SMEs z z Case Studies with real-world examples z Projects with hands-on experience 100% Placement Assistance for Students z

5. DATA SCIENTIST Training Agenda

6. 1 WEEK 1-2: INTRODUCTION TO DATA SCIENCE AND PYTHON v Basic Python for Data Science vUnderstanding the Data Science Lifecycle vProject: Simple data analysis using Python

7. 2 WEEK 3-4: STATISTICS AND PROBABILITY v Descriptive and Inferential Statistics vProbability Distributions vHypothesis Testing vProject: Real-world statistical analysis

8. 3 WEEK 5-6: DATA WRANGLING & VISUALIZATION v Numpy, Pandas for Data Wrangling vMatplotlib, Seaborn for Data Visualization vProject: Data Cleaning and Visualization of a complex datases

9. 4 WEEK 7-10: INTRODUCTION TO MACHINE LEARNING v Supervised Learning vUnsupervised Learning vReinforcement Learning vProject: Developing and evaluating a predictive model

10. 5 WEEK 11-13: DEEP LEARNING v Neural Networks vConvolutional Neural Networks (CNNs) vRecurrent Neural Networks (RNNs) vProject: Image Recognition or Text Generation

11. 6 WEEK 14-16: BIG DATA AND NOSQL DATABASES v Introduction to Big Data v NoSQL Databases (like MongoDB) v Project: Handling and analyzing Big Data

12. 7 WEEK 17-20: ADVANCED TOPICS AND CASE STUDIES v Natural Language Processing (NLP) v Time Series Analysis v Reinforcement Learning v Advanced Projects covering above topics

13. 8 WEEK 21-24: CAREER PREP AND CAPSTONE PROJECT v Resume and Portfolio Building v Interview Preparation v Capstone Project: A comprehensive project encapsulating all learnings

14. LEARNING ROADMAP FOR YOU Understand the learning objectives that fits your learning need Contact our coach and consultants and understand in depth Block your seat 2 4 6 1 3 5 Relate to how it can help you Talk to the trainer for more clarity Continuously learn and apply the learning

15. Connect with us now! Talk to our consultant USA: +1 (832) 924 0564 You can also email us at info@spoclearn.com IND: +91 83417-05065 support@spoclearn.com UK: +44 807 164 0572