Codeout, Delhi: Courses & Fees

Course Detailed 

Particulars	Details
Course Name	Professional in Data Science Program
Duration	6 Months
Fees	Rs. 42,000
Program Highlights	1:1 Training: Personalized attention for each participant.
	Industry Case Studies: Real-world projects to enhance practical understanding.
	Simulation Test Papers: Practice assessments to track progress.
	Live Instructor-Led Training: Interactive sessions with experts to clarify doubts in real time.
	100% Placement Assistance: Support in securing jobs with top organizations.
Curriculum	Course 1: Python for Data Science - Learn the basics of Python programming for data manipulation and analysis.
	Course 2: Data Analysis and Visualization - Techniques for visualizing and interpreting data effectively using tools like Matplotlib and Seaborn.
	Course 3: MS SQL and SQL - Master database management, querying, and structured data handling.
	Course 4: Statistics for Data Science & EDA - Gain knowledge of statistical concepts and exploratory data analysis (EDA) techniques.
	Course 5: Machine Learning - Implement predictive modeling and algorithms using tools like scikit-learn.
	Course 6: Deep Learning - Introduction to neural networks, TensorFlow, and Keras for advanced data insights.
	Course 7: Microsoft Power BI - Create professional reports and dashboards for business intelligence.
	Course 8: Data Preparation using Tableau Prep - Learn data cleaning and preparation for visualization and analysis.
Certification	Provider: Codeout.in
	Recognition: Globally recognized certification widely accepted in the industry.
	Validity: Lifetime validity, ensuring continued credibility.
Placement Assistance	Support in building resumes and preparing for interviews.
	Connections with 500+ hiring partners for job placement.
	Personalized mentorship for career planning.
Job Market Insights	Global Demand: Estimated 11.5 million career opportunities by 2026 for experienced data scientists in the IT industry.
	Salary Trends: Average annual salary for data scientists: $139,163.
	Growth Rate: 28% annual growth in job opportunities for data scientists, data developers, and data engineers worldwide.
Learner Base	61,640+ satisfied learners have benefited from this program.
Trainer Expertise	Delivered by certified industry experts with extensive experience in their domains.
	Trainers specialize in practical, hands-on learning to prepare participants for real-world challenges.
	Sessions include interactive discussions, problem-solving, and guided project work.
Enrollment Process	Enrollment is available directly through the Codeout.in platform.
	Flexible payment options to suit different budgets.
Program Delivery Mode	Online live instructor-led sessions.
	Classes scheduled to accommodate working professionals and students.

Why Enroll in the Professional in Data Science Program:

• All major aspects of data science are covered, ranging from machine learning, Python programming to deep learning, and business analytics.
• Skills Relevant to the Industry: You will gain hands-on experience through case studies in the industry and real life.
• Trainers who are certified receive very valuable, current training from experts with decades of experience.
• Customized Education: Utilize one-on-one coaching sessions and doubt-clearing sessions for customized support and personal attention.
• In addition to professional development mentorship, full-time job placement support is also offered through a network of more than 500 employment partners.
• Lifetime Certification: Globally recognized certification upon completion, with lifetime validity, adds value to your professional profile.
• The demand for data scientists would reach about 11.5 million career opportunities until 2026, and this course will help get one tuned into the booming and one of the best-paid sectors.
• Higher Salary Scale: With an average compensation of $139,163 annually, there is huge career growth and salary increase opportunities in store for a data scientist.
• Flexible Learning: Online, instructor-led training; flexible class schedules to adjust to the pace of learning to fit around your personal or professional commitments.
• Practical Training Approach: Hands-on experience through live projects, simulations, and interactive trainings for real-world preparation in the field of data science.