Data Science

Levelup’s Data Science Course, crafted by industry experts, imparts deep knowledge of data science principles. Through hands-on projects, participants gain practical experience in designing machine learning models, analyzing data with Python, and making data-driven decisions. Develop advanced data science solutions tailored to organizational needs. Join Levelup today to take your first steps toward becoming a globally recognized data scientist!

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Why enroll for Data Science

Data Science is one of the fastest-growing fields, with a predicted market size of USD 230.80 billion by 2026 (Allied Market Research).

Data Science plays a pivotal role in decision-making in industries like finance, healthcare, and tech.

According to Glassdoor, the average salary for a data scientist in the U.S. is over $120,000.

Data Science Course Training Benefits

This course provides an in-depth understanding of data manipulation, statistical analysis, machine learning, and AI, giving you the skills to

Perform data wrangling and exploratory data analysis (EDA) on large datasets.
Build and deploy predictive models for data-driven decision-making.
Utilize popular libraries like Pandas, NumPy, and Scikit-learn.
Work with big data tools such as Spark and Hadoop.

Why Data Science Course from Levelup

Live Interactive Learning

World-Class Instructors
Expert-Led Mentoring Sessions
Instant doubt clearing

Lifetime Access

Course Access Never Expires
Free Access to Future Updates
Unlimited Access to Course Content

Hands-On Project Based Learning

Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments

Industry Recognised Certification

Levelup Training Certificate
Graded Performance Certificate
Certificate of Completion

Data Science Skills Covered

Data Wrangling and Exploration
Statistical Analysis
Machine Learning
Deep Learning
Natural Language Processing (NLP)
Big Data Tools (Spark, Hadoop)

Data Science Tools Covered

Pandas
NumPy
Scikit-learn
TensorFlow
Hadoop
Apache Spark

Curriculum Designed by Experts

This course is structured to follow the latest data science trends, ensuring that students are learning cutting-edge techniques used by professionals.

What topics are covered in the generative AI course?

The course includes essential topics such as OpenAI technologies, Large Language Models (LLMs), prompt engineering, Azure OpenAI, GCP Vertex AI, Hugging Face, and more. You’ll learn how to create AI applications and integrate APIs effectively

Do I need prior experience in AI to enroll in this course?

While prior experience can be helpful, it’s not required. Our course is designed for all skill levels, and we provide foundational knowledge to ensure you can follow along and develop your skills.

What practical skills will I gain from this course?

You’ll gain hands-on experience in deploying and testing AI models, creating AI applications using LLMs, and implementing effective prompt engineering techniques. You’ll also learn how to use key APIs, such as Google Speech-to-Text and Hugging Face.

How is the course delivered?

The course is delivered through a combination of video lectures, interactive assignments, and live coding sessions. You’ll have access to a learning management system where you can track your progress and engage with fellow learners.

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Data Science Training FAQs

Who is a Data Scientist?

Data scientists are professionals who apply skills from statistics, programming and machine learning to analyse and interpret complex datasets. Their focus includes finding patterns within them; building predictive models to predict future behavior; deriving insights that inform business decisions; as well as providing important business decisions with additional context and advice from their findings.

What is Data Science Course

Data Science Course Masters Program is a structured learning path recommended by leading industry experts and ensures that you transform into a proficient Data Scientist. Being a full-fledged data scientist requires you to master multiple technologies, and this program aims to provide you with in-depth knowledge of the entire data science practice. Individual courses at Edureka focus on specialization in one or two specific skills; however, if you intend to become a master in Data Science, then this is your go-to path to follow.

What are the prerequisites for enrolling in this Data Science Course Online?

There are no prerequisites for enrollment to this Data Science Course Masters Program. Whether you are an experienced professional working in the IT industry or an aspirant planning to enter the world of Data Science, this master’s program is designed and developed to accommodate various professional backgrounds.

Which programming language is helpful in Data Science & why?

Python and R are widely utilized programming languages used for data science. Python’s simplicity, readability, and expansive libraries like NumPy, Pandas, and sci-kit-learn make it especially well-suited to data manipulation, analysis, and machine learning applications. R is also widely used, especially in academia and statistical analysis, offering comprehensive statistical modeling and data visualization packages. Both languages have their strengths and are commonly used in the data science community.

Which is better, being a Data Scientist or being a Data Analyst?

Both data science and data analytics are equal. Both fields are in high demand and offer rewarding careers. Data scientists generally have a higher level of technical expertise than data analysts. Data analysts focus on collecting, cleaning, and analyzing data to provide business insights. Data scientists use their technical expertise to develop and deploy machine learning models to crack complex business problems

How is Python used in Data Science?

Python has become the most demanding language in the data science communities due to it’s compatibility and easy to use syntax. You can learn even if you don’t have an engineering and science background. Its versatility and easy to understand makes Python the most sought after-skills that big organizations are looking for in a data science professional.

What are the roles and responsibilities of Data Scientist?

Data scientist’s primary responsibilities include:

Collecting, cleaning, and analyzing data.
Developing predictive models.
Communicating insights.
Collaborating with other teams.
Staying up-to-date with industry trends.
Guaranteeing data security and privacy.
Experimentation of new tools and techniques.

What is the Data Science Course duration?

The recommended duration to complete this Data Science Course is 34 weeks. However, each individual can complete this program at their own pace.

Who should take this Data Science Training?

The Data Science training is for those who want to fast-track their data science career. This Data Science Training Masters Program will benefit the people working in the following roles:

Freshers
Engineers
IT professionals
Business analysts
Data analysts

Is this Data Science Course suitable for Beginners or Freshers?

This Data Science Course Masters Program Is designed to meet the requirements of both working professionals and freshers. Yes, this online Data Science course is suitable for freshers if you have basic knowledge of Python, Statistics, Database. etc., it will be an advantage for you to follow up on our course easily.

What is the function of coding in data science?

Coding is essential for data science. Data scientists use code to clean, prepare, and analyze data. They also use code to develop and deploy machine learning models. Coding skills allow data scientists to automate tasks, build custom tools, and work with large datasets.

Can I attend a demo session before enrollment?

Yes