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Level Up Your Career with Data Analytics and AI

Comprehensive range of IT programs from foundational to advanced levels

Who do we cater?

Working Professionals

IT skills are globally sought after, offering better job prospects IT skills are globally…

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College Students

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School Students

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How do we cater?

Offline classes

Gain tech skills with offline IT classes in Amritsar and learn from experienced instructors. Note- Learners must first qualify KART (Kochiva Admission Ready Test) to enroll in Kochiva’s offline classes

Online one-to-one classes

Get the classes customized to your specific needs, learning style, and pace

Online group classes

Make learning more enjoyable with group discussions, activities, challenges and fun

Looking for the curriculum?

Video Heading is missing or not set in ACF.

Celebrating achievement

Our Offering

Prompt Engineering 

SQL and Power BI 

Concepts of ML 

Time - 320 Hours

Our college partners

Teaching Methodology

This methodology caters to students and working professionals seeking to enter the data sciences field

Content Delivery

Interactive Lectures

We use screen casts to demonstrate software applications and data techniques. We also incorporate quizzes and polls to gauge understanding

Real-World Case Studies

We showcase how data science is applied in different industries and encourage students to analys real-world datasets

Guest Lecture

Invite industry professionals to share their experiences and insights Live Coding Sessions We dedicate sessions where you walk through coding exercises and problem solving steps in real-time

Course Structure

Modular Design

Break down the curriculum into manageable modules focusing on specific data science concepts

Blended Learning

Combine pre-recorded video lectures with live interactive sessions

Engagement Strategies

Online Discussion Forums

We foster a community where students can ask questions, share ideas, and learn from each other

Group Projects

We assign collaborative data science projects where students work in teams

Live Coding Sessions

We dedicate sessions where you walk through coding exercises and problem solving steps in real-time

Our accreditation

Why choose Kochiva?

Celebrating achievement

Testimonials

Frequently Asked Questions.

Data science is a multidisciplinary field that combines statistical analysis, machine learning, and domain expertise to extract valuable insights from large datasets. To excel in this field, you should focus on learning: 1. Statistical concepts: Probability, hypothesis testing, regression analysis 2. Programming languages: Python and R 3. Data manipulation and analysis: Pandas, NumPy 4. Machine learning algorithms: Supervised, unsupervised, and reinforcement learning 5. Data visualization: Matplotlib, Seaborn 6. Big data technologies: Hadoop, Spark 7. Cloud computing: AWS, GCP, Azure

Typically, a bachelor's degree in a quantitative field like computer science, engineering, statistics, or mathematics is preferred. However, with the increasing demand for data scientists, individuals with strong analytical skills and a passion for data can also pursue this field.

The duration of our data science course is approximately 320 hours.

Our course is designed to cater to both working professionals and students. We offer flexible learning options to accommodate different schedules and learning styles.

Yes, we provide certifications upon successful completion of the course.

We offer both online and offline classes. You can choose the learning mode that suits you best.

Yes, we provide internship opportunities with various companies to give our students practical experience.

Yes, we provide recorded sessions and a learning portal where you can access course materials, assignments, and quizzes.

No prior coding experience is required. Our courses start from the basics and gradually progress to advanced topics. However, you must pass KART (Kochiva Admission Ready Test) to enrol in Kochiva's offline classes in Amritsar.

A career in data science offers exciting opportunities in various industries, including: 1. Data analyst 2. Data scientist 3. Machine learning engineer 4. Business analyst 5. Data engineer 6. Data architect

Start with IT skills training today

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