Data Science 1st Batch
3 weeks
·Live Course
Data Science 1st batch Tokyoanalytics
Your Instructors
Jatin Mehrotra
Course Overview
Dive into the transformative world of data science and artificial intelligence with our comprehensive "Data Science with AI" course. Designed for aspiring data scientists, analysts, and anyone looking to leverage the power of data, this program provides a robust foundation in both theoretical concepts and practical applications.
This course meticulously guides you through the entire data science pipeline, starting from data collection, cleaning, and exploratory data analysis. You will master essential programming languages like Python, along utilizing powerful libraries such as Pandas, NumPy, and Matplotlib for data manipulation and visualization. Beyond foundational statistics, the curriculum delves deep into the core of machine learning, covering a wide array of algorithms including regression, classification (e.g., Logistic Regression, Decision Trees, Support Vector Machines), clustering (e.g., K-Means), and dimensionality reduction.
What sets this course apart is its strong emphasis on the integration of Artificial Intelligence. You will explore advanced AI concepts, including an introduction to neural networks and deep learning, natural language processing (NLP) for text analysis, and computer vision fundamentals. Through hands-on projects, real-world case studies, and practical exercises, you'll gain invaluable experience in building, evaluating, and deploying predictive models and intelligent systems. Learn to harness the power of AI to extract deeper insights, automate complex tasks, and drive innovation across various industries.
By the end of this course, you will possess the skills to transform raw data into actionable intelligence, develop sophisticated AI-driven solutions, and confidently tackle complex data challenges in today's data-driven landscape. Whether you're looking to start a career in data science, enhance your existing skillset, or simply understand the future of technology, this course is your gateway to becoming a proficient data scientist with a strong AI acumen.
What you'll get out of this course
This course aims to empower participants to effectively collect, clean, analyze, and interpret complex datasets, transforming raw information into actionable insights. Students will gain proficiency in key programming languages like Python and R, along with essential libraries and frameworks for data manipulation, statistical analysis, machine learning, and deep learning. A core objective is to develop a strong understanding of various AI algorithms, including supervised and unsupervised learning, natural language processing, and computer vision, enabling participants to build and deploy intelligent systems. Furthermore, the course emphasizes practical application through hands-on projects, case studies, and real-world datasets, ensuring that learners can translate theoretical concepts into tangible solutions. Upon completion, students will be able to design and implement data-driven strategies, make informed decisions based on robust analytical models, and contribute significantly to data science and AI initiatives in diverse industries. The ultimate goal is to foster a new generation of data professionals capable of leveraging AI to solve complex problems and drive innovation.
Course content
Week 1
3 items
python
1 item
Week 5
2 items
Week 4
2 items
Sept Week 1
3 items
Sept Week 2
1 item
Sept Week 3
2 items
Sept Week 4
2 items
Oct Week 1
3 items
Hear From Other Students
Priya Sharma
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E-Corp
Arjun SIngh
Business Analyst
infobean
Sameer Khan
Data Analyst
TCS
Your Instructors
Jatin Mehrotra
Pankaj Rai
Shazia Umar
Digital Marketing With AI
Pawan Meena
Wasil Umar
Abhishek Chouriya
Mehul Dubey
Afzal Ali
Afzal Sir is a working professional in infosys and he has vast knowledge to offer to students specially in field of Data Analytics and Data Science
Pavan meena new
Frequently Asked Questions
- What is the "Data Science with AI" course all about?
- Who is this course for? Do I need prior experience?
- What specific programming languages and tools will I learn?
- What are the key topics covered in the course?
- What kind of projects will I work on during the course?
- What career opportunities can I pursue after completing this course?
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