Data Scientist Course in Charlotte

Extensive Program with 13 Courses View all
250+ Hours of Interactive Learning
6+ Projects and 50+ Assignments
The capstone project will provide you with a business case. You will need to solve this by applying all the skills you’ve learned in the courses of the master’s program.
Data Science Course in Charlotte offers you the best course to boost your career. It includes training in Statistics, Data Science, Python, Apache Spark & Scala, Tensorflow, and Tableau. Our Data Science Training in Charlotte makes you proficient in tools and systems used by Data Science Professionals. The Course curriculum is designed by extensive research on 5000+ job descriptions across the globe to provide you with in-depth theoretical and practical knowledge.
As per, the average salary for a Data Scientist is $139,163 per year in the United States.

You Will Learn

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 skills.

View Curriculum

Data Science Training in Charlotte Reviews

Our Masters Program Alumni work for amazing companies


My career got a boost after learning Data Science from Edureka.

Edureka's Data science Masters program provided me with a very good mixture of theoretical and practical training. After completion of the course, I got to work on many POC'S and projects that led to a decent pay hike too. Edureka's training was very informative and practical and the assignments very useful. I can safely say that signing up for Edureka's Data Science training has been a career-changing decision.

I gained confidence to make a career leap to Data Science after this course

I had a wonderful learning experience with Edureka. Not only did I get exposed to Data Science, but I was also able to learn related technologies that helped me in my career. The course also gave me an edge over other candidates when I was looking for a job change and helped me ace my interviews. I am now planning to shift my career to Data Science and Edureka's course has given me the knowledge and confidence to make this career leap.

Edureka is my go-to resource for learning hot technologies such as Data Science and Big Data

Edureka's courses in Big Data and Data Science have helped me excel in my career as a Big Data Developer. I have been able to build expertise in Hadoop and Big Data which has helped me stay up to date with current market trends. This has in turn given me confidence to weather all changes in the industry and build a foolproof skill base.

I have been able to build an arsenal of skills in Data Analytics after completing the course at Edureka

Edureka's Data Analytics with R course has helped me build my career in trending technology. I have benefited a lot from this course and gained practical knowledge of the technology. I am now equipped to shift my career from Network Engineer to Big Data Engineer, thanks to Edureka.

Edureka's Data Analytics with R course helped me take a big step towards my dream career path.

I took up the Data Analytics with R courses at Edureka to explore better career opportunities in Big Data. The course has lived up to its promise and helped me progress from a novice learner to a programmer with a good handle over data analytics. I will be making a career shift in the future and I am confident about achieving my dream career.

Data Science Course Charlotte Syllabus

Python Statistics for Data Science Course


The Python Statistics for Data Science course is designed to provide learners with a comprehensive understanding of how to perform statistical analysis and make data-driven decisions. Through a series of interactive lessons and hands-on exercises, you will learn how to conduct hypothesis testing, perform regression analysis, and many more. This course is ideal for anyone looking to enhance their data science skills and gain a deeper understanding of statistics. This course will provide you with the knowledge you need to succeed in the rapidly growing field of data science.

  • WEEK 3-4
  • 6 Modules
  • 12 Hours
  • 5 Skills
Watch Course Recording
Python Statistics for Data Science Course

Data Science with Python Certification Course


Edureka's Data Science with Python Certification Course is accredited by NASSCOM. It will help you master important Python programming concepts such as data operations, file operations, object-oriented programming, and various Python libraries such as Pandas, Numpy, and Matplotlib essential for Data Science. This course is well-suited for professionals and beginners. This training will introduce you to different types of Machine Learning, Recommendation Systems, and other relevant concepts to kickstart your Data Science career.

  • WEEK 6-7
  • 16 Modules
  • 36 Hours
  • 7 Skills
Watch Course Recording
Data Science with Python Certification Course

Pyspark Certification Training Course Online


Edureka's PySpark Course is curated by top industry experts to help you master the skills required to become a successful PySpark developer. This certification course gives you an overview of the Spark stack and teaches you how to leverage Python's functionality as you deploy it in the Spark ecosystem.Our online training is instructor-led and enables you to master key PySpark concepts with hands-on demonstrations. Enroll now with this course to learn from top-rated instructors.

  • WEEK 6-7
  • 12 Modules
  • 36 Hours
  • 6 Skills
Watch Course Recording
Pyspark Certification Training Course Online

Artificial Intelligence Certification Course


Edureka’s Advanced Artificial Intelligence Course helps you master essentials of text processing and classifying texts along with important concepts such as Tokenization, Stemming, Lemmatization, POS tagging and many more. You will learn to perform image pre-processing, image classification, transfer learning, object detection, computer vision and also be able implement popular algorithms like CNN, RCNN, RNN, LSTM, RBM using the latest TensorFlow 2.0 package in Python. This course is curated by the industry experts after an extensive research to meet the latest industry requirements and demands. Unleash the power of Artificial Intelligence and accelerate your career— join the global revolution now!

  • WEEK 8-9
  • 18 Modules
  • 42 Hours
  • 7 Skills
Watch Course Recording
Artificial Intelligence Certification Course

Tableau Certification Training Course


Tableau certification training covers in-depth knowledge of Tableau Prep Builder, Tableau Desktop, Charts, LOD expressions, Tableau Online, etc. This Tableau training will help you master the Business Intelligence tool, Data Visualization, and reporting. Throughout this online instructor-led training for Tableau, you will be working on real-life industry use cases in Retail, Entertainment, Transportation, and Life Sciences domains. Clear your Tableau Desktop, Analyst and Server certification exams with this Tableau course.

  • WEEK 6-7
  • 11 Modules
  • 36 Hours
  • 7 Skills
Watch Course Recording
Tableau Certification Training Course

Free Elective Courses along with learning path

Self Paced

SQL Essentials Training

Self Paced

R Programming Certification Training

Self Paced

R Statistics for Data Science Course

Self Paced

Data Science with R Programming Certification Training Course

Self Paced

Python Programming Certification Course

Self Paced

Scala Essentials

Self Paced

MongoDB® Training And Certification

Self Paced

Data Warehousing


Data Science Course Fee in Charlotte

1,499 3,000
Your total savings: 1,501
No Cost EMI Available, Starting from 167/mo.
To make this a No Cost EMI offer
The interest amount will be discounted from the price of your order. You will be charged for the item price minus the discounted interest.
See Course Bundle
  • Python Statistics for Data Science Course
  • Data Science with Python Certification Course
  • Pyspark Certification Training Course Online
  • Artificial Intelligence Certification Course
  • Tableau Certification Training Course
+8 Free Elective Courses 835

Financing Options

Financing options available without any credit/debit card. The interest amount will be discounted from the price of the course and will be borne by Edureka. You will be charged the course price minus the interest.

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Capstone Project

Data Science Master Program Capstone Project

Build a Machine Learning Model to predict whether an owner will initiate an auto insurance
claim in the next year. For this to be effective, the past data of all owners and other claims need
to be utilized to make the most probable prediction.

Data Science Certification in Charlotte

Edureka’s Certificate Holders work at companies like :

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Data Scientist
Python Statistics for Data Science Course Data Science with Python Certification Course Pyspark Certification Training Course Online Artificial Intelligence Certification Course Tableau Certification Training Course Data Science Master Program Capstone Project
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Features of Data Science Training in Charlotte

As per your convenience

Weekday or weekend; morning or evening. Multiple options for everyone.

Never miss a class

You can always switch to another batch, depending upon your availability.

24x7 Support

Resolved All Your Doubts Instantly, get One-On-One Learning Assistance Round The Clock.

Lifetime Access

You'll have the keys to all our presentations, quizzes, installation guides. All for a lifetime!

Job Outlook


11.5 Million Career Opportunities estimated for experienced Data Scientist by 2026 in the IT industry across the globe.


Salary Trend The average salary for a Data Scientists $1,39,163 per year.


28 % Annual Growth in job opportunities for data scientists, data developers and data engineers, across the globe.

    Top Industries
  • Information Technology
  • Finance
  • Healthcare
  • E-commerce
  • Retail
  • Manufacturing
  • Energy and Utilities
  • Marketing and Advertising
  • Transportation
  • BFSI
    Job Titles include
  • Data Scientist
  • Data Analyst
  • Principal Scientist
  • Machine Learning Engineer
  • AI Engineer

Data Science Course in Charlotte FAQs

Data science is an interdisciplinary field that utilizes scientific and computational methods to extract insight and knowledge from data sets. It integrates statistics, mathematics, and computer science elements to interpret them accurately.

Data science extracts valuable insights and predictions from large datasets that can drive decision-making across various fields such as healthcare, finance, marketing and social media. It involves working with large datasets by cleaning and transforming them before using statistical techniques and machine learning algorithms to create models that then serve as predictors. From these models emerge insights and predictions.

Overall, data science is an incredibly useful method of extracting insightful knowledge from raw data sources, with applications becoming ever more widespread as more data becomes available to use.

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.
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.
Data science offers an exciting career choice with high demand, financial rewards, and intellectual stimulation that has an immediate and tangible effect on businesses and society. Combining analytical abilities with solving real-world problems through data this career choice combines analytical skill development with solving real-world issues through data.
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.
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.
    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
  • Other Career Related Programs

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