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Module 1: Introduction to Data Science
In this module the candidate will learn about Data Science, which includes understanding Data Analysis in Excel and Analytics Problem Solving- Understanding Data Science
- Data Analysis in Excel
- Analytics Problem Solving
- Quiz Module 1
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Module 2: Introduction to python Exploratory
In this module the candidate will learn about Python Exploratory, which includes understanding of Data Tool-Kit Data Analysis using SQL, an overview of Python Exploratory and Data Analysis Inferential Statistics Hypothesis Testing
- Data Tool-Kit Data Analysis using SQL
- Introduction to Python Exploratory
- Data Analysis Inferential Statistics Hypothesis Testing
- Quiz Module 2
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Module 3: Getting And Cleaning Data
In this module the candidate will learn about Cleaning and Getting Data, which includes understanding Components of complete Data Set - Raw Data, Codebooks and learning how to collect, clean and share data
- Components of complete Data Set - Raw data, codebooks
- How to collect, clean and share data
- Quiz Module 3
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Module 4: Exploratory Data Analsis, Research and Statistical Inference
In this module the candidate will learn about Exploratory Data Analysis which includes understanding Multivariate Statistical Techniques, knowing various plotting systems in different languages, learning different Statistical Analysis tools, Publishing Data Analysis and understanding how to make informed and accurate decisions
- Understanding multivariate statistical techniques
- Know various plotting systems in different programming languages
- Learn different statistical analysis tools
- How to publish Data Analysis
- How to take informed and accurate decisions
- Quiz Module 4
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Module 5: Regression Models and Practical Machine Learning
In this module the candidate will learn about Regression Models, which includes Model Selection and Novel uses of Regression models, Building Prediction Functions and Applying Algorithms and learning how to do evaluation
- Model selection and novel uses of regression models
- Building prediction functions — Data collection, feature creation
- How to apply Algorithms and learning how to do evaluation
- Quiz Module 5
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Curriculum For Data Science Course
Know the complete offerings of our Data Science Course
Key Highlights
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32 Hours of Instructor-Led Sessions
11 Hours of Live Interactive Doubt Solving Sessions
6 Hours of Live Master Sessions by Industry Experts
192 Hours of Self-Paced Learning
192 Hours Hands on with Cloud Labs
Job-Ready Portfolio of 3 Capstone Projects
19 Auto-Graded Assessments
6+ Industry Case Studies
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48 Guided Hands-On Exercises
3+ Assignments and Mini Projects
1 Mock Interview and 1 Hackathon
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Get 1-Year Gold Membership of Henry Harvin® Data Science & Analytics
Get a guaranteed Internship with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage
2 Hours of Mentorship by Industry Experts
About the Data Science Course
Overview
With a data science Course, you can follow an organised learning path that covers the fundamental ideas, methods, and resources utilised in the industry. You can obtain a broad range of skills in data analysis, statistical modelling, machine learning, data visualisation, and programming by finishing the Data Science course. Through hands-on experience and case studies, you’ll gain practical experience using tools like Python, R, and SQL.
Who Should Attend?
- Beginners
- Professionals looking to upskill
- Recent Graduates
- Data Enthusiasts.
Trainers at Henry Harvin®
- Most reputable industry professionals with over 10+ years of the ata science Program field expertise.
- Meticulously chosen by our training partners and honored for their contributions by many organizations over the years.
- Have received an invitation to participate in 100+ keynote classes for the Data Science Course.
Perks of Gold Membership
- Unlock a 1-Year Gold Membership at Henry Harvin® Data Science & Analytics Academy, offering E-learning access to an extensive array of recorded videos, projects, & case studies.
- Join an exclusive masterclass for 1 year at no additional cost.
- Become an honoured Henry Harvin Alumni and be a part of the 460,000+ accomplished alumni network.
- Get an internship with Henry Harvin® or one of its affiliated companies.
- Benefit from 10+ job openings each week, helping you jumpstart your career.
- Engage in actual business initiatives during the duration of the program.
Recognitions of Henry Harvin®️ Education
- Award-Winning Excellence: Honored with the 40 under 40 Business World Awards, Game-Based Learning Company of the Year, and Top Corporate Training Awards.
- Outstanding Reviews: 1100+ YouTube testimonials with a 4.5+ rating, 3425+ Google reviews Rated on MouthShut, Google, GoAbroad, and additional sites.
- Esteemed Partnerships: Join a network recognized by prestigious organizations including the American Association of EFL, UKAF, UK Cert, MSME, ISO 29990;2010, and the Project Management Institute (PMI).
Learning Benefits
- Utilise the abilities and information you acquire from this comprehensive Data Science course to open doors to intriguing career prospects.
- Manage difficult data problems and contribute significantly across a range of businesses.
- Gain knowledge from seasoned business experts who can offer insightful advice.
- Make connections with other students and industry professionals to grow your professional network.
- Gain recognition for your dedication to data science by earning a certification that can help you land a better job.
- Benefit from a blended format that combines online and in-person classes.
- Develop critical thinking and problem-solving skills by tackling real business challenges.
- Enhance your resume by adding in-demand credentials and abilities that demonstrate your proficiency with data analysis and problem-solving.
Book a Live Class, For Free!
By continuing you agree to Henry Harvin® Terms & conditions and Privacy Policy
Skills Covered
Ensemble Learning
Natural Language Processing
Supervised & Unsupervised Learning
Model Building & Fine Tuning
Inferential Statistics
Descriptive Statistics
Tools Covered
Know more about 50+ tools covered in this Data Science Course.
Certifications
Get Ahead with Henry Harvin® Data Science Course
What you'll Learn in this course
Common Programming Languages
Database Management and Querying
Descriptive and Inferential Statistics
Data Cleaning and Formatting Techniques
Machine Learning Algorithms
Data Visualization Techniques
Our courses and Course Certificates are trusted by these industry leaders
Know more about the value of this certificate in the industry
FAQs
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How relevant is this Data Science course ?
Data science course skills continue to be in huge demand across industries, and the need for data practitioners is booming at a fast pace. Upon completing this Data Science Certification program, you will be armed with the skills and experience you need to start your career in data science and machine learning.
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What topics will be covered in this course?
The course typically covers:
- Introduction to Data Science
- Introduction to Python Exploratory
- Getting And Cleaning Data
- Exploratory Data Analysis, Research and Statistical Inference
- Regression Models and Practical Machine Learning
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What is the duration of the Data Science Course?
The duration of the course is 32 Hours.