Data Science Institute Program-rdatasciences.com

Take the first step toward your new career

START YOUR NEW CAREER IN DATA SCIENCE

Get Trained by Trainers from IIT, ISB & IIM
184+ Hours of Live Classroom or Online Sessions
3 Capstone Live Projects
Free Life-Time eLearning Access
Dedicated Program Coordinator
Re-attend Module with No Extra Cost
100% Free Internship
100% Job Placement Assurance

Certification Courses

Data Science Certification Course

(22140 ratings)

☆☆☆☆☆ 5/5

Data Analytics Certification Training

(19320 ratings)

★★★★★ 5/5

Artificial Intelligence Certification

(185261ratings)

★★★★★ 5/5

Data scientists typically work with large datasets, which can be structured or unstructured, to extract useful information and patterns. They use a variety of tools and techniques, such as data cleaning and preprocessing, statistical modeling, machine learning algorithms, and data visualization, to uncover hidden insights and trends.

What will you learn?

In a data science course, you will typically learn the following:
Data collection and storage: This involves learning how to collect, clean, and store data in a way that makes it usable for analysis.
Statistics: You will learn statistical concepts and techniques that are used to analyze data, such as probability theory, hypothesis testing, and regression analysis.
Data visualization: You will learn how to create effective visualizations of data to help communicate insights and findings.

Domain-specific knowledge: Depending on the specific data science course, you may also learn about the specific domain or industry in which data science is being applied, such as finance, healthcare, or social media. Overall, a data science course is designed to equip students with the skills and knowledge needed to collect, analyze, and interpret large and complex data sets in order to draw meaningful insights and make data-driven decisions.

Artificial Intelligence course objectives:

An artificial intelligence (AI) course typically aims to equip students with knowledge and skills in the design, development, and application of intelligent systems. Some of the objectives of an AI course may include:

1. Understanding the fundamentals of AI: Students should be introduced to the concepts, theories, and techniques that form the foundation of AI, including machine learning, natural language processing, computer vision, and robotics.

2. Developing programming skills: Students should learn how to write programs in popular AI programming languages such as Python, R, and MATLAB.

3. Implementing machine learning algorithms: Students should learn how to develop and apply machine learning algorithms to solve real-world problems, including regression, classification, clustering, and recommendation.

4. Understanding data structures and algorithms: Students should be proficient in data structures and algorithms used in AI, including searching and sorting algorithms, decision trees, and graph algorithms.

5. Developing intelligent systems: Students should learn how to develop intelligent systems, including expert systems, intelligent agents, and robotics.

Overall, an AI course should equip students with a strong foundation in AI, programming, data structures and algorithms, and the ability to apply this knowledge to solve real-world problems.

Data Science & AI Job Profiles

Data Engineer
Data Science Consultant
Full Stack Data Scientist

Data Analyst Engineer
Data Mining & Engineer
Data base Administrator

Business Analyst
Data Architect
Statistician

AI Engineer
Data & Analytics Manager
M L Engineer

What Our Learners Have To Say About Us

Sai Teja

Nice coaching center in this institute. Completed data analytics with python course here. Trainers are more supportive and guides you throughout the course. They are moreover treat us like a friends which makes us to learn quickly. Thank you trainers for your wonderful support.

Subhash M

This is the best institute in this institute for data analytics with python course. I completed the course successfully and got the opportunity to work on live projects. Data Analytics with SQL, Data Analytics with Tableau and Excel were also provided in addition. Apart from curriculum they also provided value added sessions like interview preparation sessions and resume building sessions etc. Overall I had a good learning experience.

shwetha B Designation

First a big Thanks to vijay sir....really amazing python sessions by sir...he explains the concept in a simple and easy way so that everyone can understand. until its clear for everyone sir repeats the concept, that is one plus point about him...I am lucky to have such a trainer in my data analyst journey