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Data Science Course in Noida


Data Science is an interdisciplinary field that involves the use of mathematical, statistical, and computational methods to extract insights and knowledge from structured and unstructured data. It involves the use of techniques such as machine learning, statistical modeling, and data visualization to analyze data and make predictions. It is widely used in industries such as finance, healthcare, marketing, and e-commerce to gain insights and make data-driven decisions

55% Average Salary Hike

45 LPA Highest Salary

Program Features

Internship Opportunities

Certificate of Completion

100% Job Placement

Data Science Course Overview

A data science course is a program designed to provide individuals with an in-depth understanding of the concepts, techniques, and tools used in data science. This course covers a wide range of topics, from data collection and cleaning to data analysis, modeling, and visualization. Students learn how to use various statistical methods and machine learning algorithms to gain insights from data. They also learn how to work with different types of data, such as structured and unstructured data, and how to use various data science tools and technologies, such as Python, R, and SQL.

Additionally, the course includes hands-on projects and case studies that provide students with practical experience in data science. This helps them to understand how the concepts and techniques they learn can be applied to real-world data problems. They also gain experience working with big data, cloud computing, and other important aspects of data science.

The goal of a data science course is to equip students with the knowledge and skills they need to become data scientists or data analysts, and to help them succeed in careers related to data science. Whether they are just starting out in the field or are looking to expand their existing skills, a data science course can provide the foundation they need to succeed.

Data Science is an interdisciplinary field that involves the use of mathematical, statistical, and computational methods to extract insights and knowledge from structured and unstructured data.It has a broad scope and can be divided into several streams. One of the streams is Data Mining, which involves identifying hidden patterns and relationships in large datasets. This helps in finding previously unknown information, which can be used for making better decisions.

Another stream is Predictive Modeling, which is about building models to predict outcomes based on historical data. This is widely used in various industries such as finance and healthcare to make predictions about future trends and events.

Data Visualization is another important stream of data science that involves creating graphical representations of data to facilitate understanding and communication. This helps in making data more accessible and understandable for non-technical audiences.

Business Intelligence is another stream of data science that deals with using data to support decision making in an organization. This helps in identifying trends, patterns and insights that can be used to make better decisions.

These are some of the broad areas of data science, the list is not exhaustive and there is a lot of overlap between the different streams.

In this advanced certification program, you will learn 12 data science courses along with multiple case studies and project work.

Online Instructor-led:

  • Course 1: Fundamentals of Python & Linux
  • Course 2: Git
  • Course 3: Python for Data Science
  • Course 4: Advanced Statistics
  • Course 5: Machine Learning & Prediction Algorithms
  • Course 6: Data Science with PySpark
  • Course 7: AI and Deep Learning through Tensorflow
  • Course 8: MLOps
  • Course 9: Data Visualization using Tableau

Apart from the live classes, you will have electives in a self-paced format:

Data Analysis with Excel, Data Wrangling with SQL, NLP, and its applications.

The demand for data scientists with the necessary Data Science skills has risen significantly due to the growing need for data-driven solutions in business organizations. With this Data Science training, you will become proficient in Data Science, R programming language, Data Analysis, Big Data, and more. Obtaining this certification will boost your career in this constantly evolving field and bring it to new heights. According to Harvard Business Review, the role of a Data Scientist is the best job of the 21st century. IBM predicts that the number of jobs for all data professionals in the United States will increase to 2.7 million, and Frost & Sullivan reports that the global Big Data market reached $122 billion in sales within six years.

In the United States, the average salary of a Data Scientist is US$112,957. The average salary of Data Scientists in India is ₹853,191.

  1. Understand the Problem: Data Scientists should be aware of the business pain points and ask the right questions.
  2. Collect Data: They need to collect enough data to understand the problem at hand, and better solve it in terms of time, money, and resources.
  3. Process the Raw Data: We rarely use data in its original form, and it must be processed, and there are several ways to convert it into a usable format.
  4. Explore the Data: After processing data and converting it into a usable form, Data Scientists must examine it to determine the characteristics and find evident trends, correlations, and more.
  5. Analyze the Data: To understand the data, they use various tool libraries, such as Machine Learning, statistics and probability, linear and logistic regression, time series analysis, and more.
  6. Communicate Results: At last, results must be communicated to the right stakeholders, laying the groundwork for all identified issues.

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Data Science Job Opportunities

Data Scientist job opportunities are available across a variety of industries such as finance, healthcare, retail, technology, and marketing. Some of the job titles that fall under this field are:

  • Data Analyst: These professionals are responsible for collecting, cleaning, and analyzing large sets of data to identify patterns and insights that can be used to make business decisions. They also create visualizations and reports to communicate their findings to stakeholders.
  • Data Engineer: These professionals design, build, and maintain the infrastructure needed to store, process, and analyze large sets of data. This includes tasks such as data warehousing, data integration, and data quality management.
  • Machine Learning Engineer: These professionals design, develop, and implement machine learning models to solve complex problems. They also fine-tune and optimize these models to improve their performance.
  • Business Intelligence Analyst: These professionals are responsible for analyzing data to identify trends and patterns that can be used to improve business performance. They also create visualizations and reports to communicate their findings to stakeholders.
  • Data Science Manager: These professionals lead teams of data scientists, data analysts, and data engineers. They are responsible for managing projects, allocating resources, and ensuring that the team is meeting its goals and objectives.

These jobs are available across a variety of industries such as finance, healthcare, retail, technology, and marketing. The required skills may include experience with programming languages such as Python and R, knowledge of machine learning algorithms, and experience with data visualization tools.

Data Science Course Curriculum

  • Basics of AI
  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Cloud Computing
  • Python {NumPy, Pandas, Matplotlib}
  • Additional Topic: Operating System
  • Data Collection
  • Business Intelligence
  • Data Wrangling
  • Exploratory Data Analysis
  • Python Lab {Pandas Adv, Tableau, Excel}
  • MySQL Labs
  • Additional Topic: Virtualization
  • Data Visualization
  • Probability and Statistics
  • Machine Learning Approaches
  • Predictive Analysis
  • Python Lab{ Sklearn, Keras, TensorFlow}
  • Additional Topic: Networking
  • Azure Fundamentals
  • Model Training
  • Pipelines
  • MLOps
  • Corporate Job Descriptions
  • Azure Hands-on Lab
  • Additional Topic: Cloud

Skills Covered

Tool Covered

Data Science Certification

Boost your career as a Data Science with AVIT. The certification you receive from us is valid for your entire lifetime, and top organizations worldwide recognize it.

Our Data Science Program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

The knowledge and Data Science skills you’ve gained working on projects, simulations, case studies will set you ahead of the competition.

Talk about your Data Science certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it – tell your friends and colleagues about it.

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Data Science Training FAQs

This course is meant for candidates with basic knowledge of computer It is  suitable for beginners. 

If You not attend the class room session next day we repeat the main tpoics

Yes, If you can’t afford to pay for a Certificate, you can apply for Financial Aid or a Scholarship or discuss through call call.

Yes, We provide Free webinar

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