Data Science Training Course

Data Science Training Course has been curated after thorough research and recommendations from industry experts. It will help you differentiate yourself with multi-platform fluency, and have real-world experience with the most important tools and platforms. Edureka will be by your side throughout the learning journey - We’re Ridiculously Committed.

Our commitment to equip you with a 360-degree understanding of Data Science means we cover many topics to ensure you become a proficient data scientist. Here is the Data Science Course syllabus Topics

Python

Statistics

Data Preparation

Data Analysis

Querying Data

Machine Learning

Clustering

Text Processing

Collaborative Filtering

Image Processing

Computer Vision

Spark MLlib

Data Visualization and many more.

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.

Edureka’s Data Science Course is a thoughtful compilation of Instructor-led and Self-paced Training Program, allowing the learners to be guided by industry experts and learn skills at their own pace.

Yes! You can be enrolled in multiple other Instructor-led or Self-paced courses offered by Edureka. This is the advantage of learning with us - “Flexible Schedule”. You can select the batches that allow you to make the best of your learning journey without the fear of overlapping or missing classes.

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

As soon as you enroll, all the 13 courses mentioned in the Data Science Course Syllabus will be added to your account. Edureka provides its learners with immediate and lifetime access to every course, which is a part of the Data Science Course.

No, we do not enforce an order of course completion. Our Data Scientist Course Masters Program recommends the ideal path for becoming a Data Scientist, however, it is the learner's preference to complete the courses in any order they intend to.

The eligibility criteria for data science certification typically include a bachelor's degree in a relevant field, proficiency in programming languages, understanding of statistical methods, and completion of specific exams or projects. Continuous learning through online Data Science course and boot camps and staying updated with the latest trends are also recommended for aspiring data scientists.

Yes, We will provide you with the certificate of completion for every course in the learning pathway once you have successfully submitted the final assessment and it has been verified by our subject matter experts.

Data science is an extremely promising career choice with vast opportunities for career growth and development in the coming years. Presently, there is a high demand for data scientists, with competitive salaries and numerous perks. This is why LinkedIn has described data science as the "most promising career" while Glassdoor has rated it as the "best job in America."

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

On completing this Data Science Training, you’ll be eligible for the roles like: Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, AI Engineer and many more.

Top Companies Such as Microsoft, Amazon, Airbnb, Splunk, IBM, Wopro, and MuSigmaare hiring Certified Data Science professionals at various positions.

Yes, You will get lifetime access of study materials for your Data Science Training Masters course. You can access it anytime from anywhere.

Here is the list of Courses offered by Edureka. Data Science with Python Course ChatGPT Course Artificial Intelligence Course

According to payscale, the average salary for a Data Scientist can range from 6 lakhs to 20 lakhs per annum in India and $80,000 to $150,000 per year in the US.

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. Edureka’s highly skilled trainers explain everything and make it easy to understand the concepts and resolve all your queries.

The cost of Data Science Online training is INR 130,450, but you can get it at a discounted price of INR 89,999. Unfortunately, this offer is limited. If you would like to confirm, please check the website. Additionally, no-cost EMI and other financial options are available.

Data Scientists, Business Analysts, and Data Analysts have overlapping skill sets but perform different roles within an organization.

Data Scientists focus on extracting insights from complex and large datasets using various statistical and machine-learning techniques. They apply their programming, mathematics, and domain expertise knowledge to analyze data and develop predictive models or algorithms to solve business problems.

Business Analysts primarily work on analyzing business operations, identifying areas for improvement, and making strategic decisions. They focus on understanding business requirements, gathering data, creating reports, and providing insights to support decision-making processes. While they may work with data, their analysis typically involves a broader perspective on business operations.

Data Analysts collect, organise, and analyse data to uncover trends, patterns, and insights. They primarily focus on data cleaning, visualization, and creating reports or dashboards to present the findings. Data Analysts work more on descriptive analysis and providing data-driven insights to support decision-making.

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.

Here are some of the top data analytics course certifications to consider:

Google Certified Professional Data Analyst

AWS Certified Data Analytics - Specialty

Microsoft Certified: Azure Data Analyst Associate

IBM Certified Data Analyst - Professional

Cloudera Certified Professional Data Engineer

SAS Certified Data Analyst

The course completion certificate will be valid for a lifetime.

Yes, Edureka provides a Data Science course with placement assistance. The Data Science course covers data science concepts, along with practical, hands-on projects to enhance your skills​​. Additionally, Edureka offers placement support by helping them in creating resume building. This service aims to prepare learners for job interviews and secure up to five interviews​. Edureka’s placement assistance is designed to train learners on the most in-demand skills, making them ready for industry challenges and job opportunities​

You must complete the required coursework, assignments, and exams to unlock the Data Science course. You will receive a course completion certificate from Edureka upon completing all the courses.

Edureka primarily offers its courses online, which allows you to access their Data Science courses from anywhere, including your location. They provide a flexible learning experience with live instructor-led sessions and self-paced learning options, making it convenient to take the course from the comfort of your home or any location with internet access.

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.

The time required to become a Data Scientist can vary based on individual circumstances, such as prior knowledge, educational background, available time for learning, and the depth of skills desired. Becoming proficient in data science typically takes several months to several years.

Data Science Online Training can cater to both beginners and experienced professionals. Some courses are designed for beginners who have yet to gain prior knowledge of data science, providing foundational concepts and skills. Other courses are more advanced, targeting professionals who already have a basic understanding of data science and want to enhance their skills or specialize in specific areas. It's important to carefully review the Data science online training curriculum and prerequisites to determine if it aligns with your current skill level and learning goals.

Yes, you can study Data Science after completing the 12th grade. While many advanced data science programs and degrees require a background in mathematics, computer science, or a related field typically acquired during a bachelor's degree, there are several introductory courses and certifications you can pursue right after high school to start your journey in Data Science.

Steps to Study Data Science after the 12th:

• Step-1: Enroll in Edureka Data Science Online Course.
• Step 2: Choose a bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• Step 3: Learn Programming Languages used in Data Science such as Python, R, SQL, and tools like Hadoop and Spark.
• Step 4: Engage in internships, online projects, and hackathons to gain practical experience.
• Step 5: Obtain certifications in specific areas of data science.
• Step 6: Develop skills in data visualization, machine learning, and data manipulation.

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.

Here are some of the primary data science concepts that beginners should know:

Data types and structures

Data cleaning and preparation

Exploratory data analysis

Statistical modeling

Machine learning

Data visualization

Data communication