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This Data Analytics course in Ashburn is designed by experienced SMEs. In this training program, you will gain knowledge of R programming, Excel, SAS, etc. Through our industry-specific projects, you will gain exposure to solving real-world issues and receive 24/7 support from our experts. Enroll now!
Data Transformation using Excel & Python
Data wrangling with SQL
Intro to Data Science & Statistics
Business Problem Solving
Statistics and ML using R Programming
Advance ML Techniques
Data Science Execution Strategy
Business Case Studies
Visualization using Power BI
Data Science Capstone Project
Intellipaat’s Data Analyst training in Ashburn is designed to make you master the significant tools and techniques in this domain, including data visualization, data manipulation, Big Data Hadoop, Tableau, Qlik Sense, and more.
Listed below are some of the reasons you must enroll in these Data Analytics courses in Ashburn:
The differences between the three data professionals are mentioned below:
There are no prerequisites to enroll in our Data Analytics course in Ashburn, but if you have some knowledge of statistics, mathematics, and probability, it can be beneficial for you.
Individuals who should most-definitely enroll in this Data Analytics program are mentioned below:
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Create predictive models like churn likelihood, customer lifetime value, and more and help the team implement these models accordingly.
Develop models concerning numerous cost components that power the various margin awareness initiatives.
Maintain the specifications of data engineering and meet the objectives in online data visualization platforms, such as Alteryx and Tableau.
Build attractive, interactive, and intuitive data visualizations, including reports, graphs, presentations, and dashboards.
Identify, build, and execute the techniques of data analysis to allow the team to make significant impacts in the business.
Generate detailed reports, dashboards of high quality, and give presentations.
Learn how to do data analysis, data transformation and other important data analysis functions. Basic fundamental of Python and learn how to do data analytics using the same.
2.1 Introduction to SQL
2.2 Database normalization
2.3 Entity-relationship model
2.4 SQL operators
2.5 Join, tables, and variables
2.6 SQL functions
2.8 SQL functions, views, and stored procedures
2.9 User-defined functions
2.10 SQL performance and optimization
2.11 Advanced concepts
3.1 Introduction to Presto
3.2 Writing Queries in Presto on large data sets.
3.3 Data Transformation using Presto
4.1 Descriptive Statistics
4.2 Introduction to Probability
4.3 Probability Distributions
4.4 Hypothesis Testing and Estimation
4.5 Goodness of Fit
5.1 Business domains
5.2 Understanding the business problem and formulating hypotheses
5.3 Exploratory data analysis
5.4 Data storytelling: Narrate stories in a memorable way
5.5 Project on deriving business insights and storytelling
6.1 Linear programming
6.2 Goal programming
6.3 Integer programming
6.4 Mixed integer programming
6.5 Distribution and network models
7.1 Introduction to KNIME
7.2 Working with data in KNIME
7.3 Loops in KNiME
7.4 Webscraping in KNIME
7.5 Hyperparameter optimization in KNIME
7.6 Hyperparameter optimization for Machine Learning Models using loops in KNIME
7.7 Feature Selection in KNIME
8.1 Programming with R
8.2 Advance Statistics
8.3 Data Mining
9.1 Multiple linear regression
9.2 Logistic regression
9.3 Linear discriminant analysis
10.1 Introduction to time-series
10.4 Autoregressive models
11.1 Handling unstructured data
11.2 Machine Learning algorithms
11.3 Bias variance trade-off
11.4 Handling unbalanced data
11.6 Model validation
12.1 Hyper parameter optimization
12.2 Advance Machine Learning Libraries – XGBoost
12.3 Solving Problems on Kaggle
13.1 Framework to Data Science strategy
13.2 Mapping Data Science with data architecture strategy
13.3 Executing Data Science strategy
14.1 Marketing & retail analytics
14.2 Social analytics
14.3 Logistics & supply chain
14.4 Financial analytics
15.1 Introduction to Power BI
15.2 Data Extraction
15.3 Data Transformation – Shaping & Combining Data
15.4 Data Modelling & DAX
15.5 Data Visualisation with analytics
15.6 Power BI Service (Cloud), Q&A, and Data Insights
15.7 Power BI Settings, Administration & Direct Connectivity
15.8 Embedded Power BI with API & Power BI
15.9 Power BI Advance & Power BI Premium
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Projects will be a part of your Data Analyst Master’s program to consolidate your learning. It will ensure that you have real-world experience in Data Analytics.
This project is made to predict the class of a flower. By analyzing the data about the petal and their dimensions, the class of the flower would be determined using a trained Machine Learning model that has optimum accuracy.
The project is meant to analyze and predict whether an individual has an annual income of more than Rs 50000 or less using various machine learning techniques, some of which are supervised and unsupervised learning.
The project will be creating a model which would help in detecting Credit Card fraud using Machine Learning subcategories like supervised, unsupervised, and reinforcement learning techniques like Neural Network and Random Forest.
Select a pokemon whose primary type is “Grass”, secondary type is “Poison” with the maximum speed. It creates a model that predicts whether the selected pokemon is Legendary or not using Machine Learning and data analysis techniques.
This project focuses on Machine Learning by creating a predictive data model to predict the future stock prices. It also analyzes the current trends in the stock market using algorithms like Linear Regression and k-Nearest Neighbors.
Work on the comment dataset of Yelp to build a multi-headed model that can identify & categorize various types of toxic comments (obscenity, insults, threats etc.). It must allow the user to find and select the required type
This project aims at building a book recommendation engine based on past reading and buying history of an individual. It will analyze the dataset using Machine Learning techniques, R programming and its various libraries.
The project aims to analyze whether the applied loan would be approved or not by identifying the variables correlated with impacting factors. It is predicted using techniques such as Logistic Regression, Decision Tree and Random Forest.
The recommendation engine is built using Netflix prize dataset that will collect the data from various sources of a user, anticipate their preferences and will recommend movies according to the user’s behavior and choices made earlier.
Executive | India
After developing an interest in Data Analysis, I enrolled in the training. I am glad I got a job in this domain and shift from a non-tech role to a Data Analyst. Also, I am now much more confident in data analysis than before.
Associate , Client support
Intellipaat has guided me to take the right course where I learned the latest tools and technologies from R to Tableau, MS Excel, and SQL allowing me to switch my career from sales to a tech role.
Data Scientist | India
Becoming a Data Scientist from a Customer Service Agent was possible only due to expert guidance by Intellipaat trainers. Even after working for 10 years in customer care, I am a Data scientist today.
Customer Service Agent
Marketing Data Analyst | India
Marketing Data Analyst
Senior Analyst | India
I was able to successfully make an internal transition from a Business Analyst to a Senior Analyst. The training has helped me effectively execute the projects in my organization. I am glad to have chosen Intellipaat.
Data Scientist | Delhi
Intellipaat has given me the confidence that anyone can become a Data Scientist with its rich course and expert guidance. With the help of Intellipaat, I switched from a non-tech role to a Data Scientist.
Data Scientist | Hyderabad
Today, I am a certified Data Scientist and this has happened post I enrolled in this program. It covers all the necessary concepts and techniques in lucid language. I am thankful to Intellipaat for giving me this career growth.
Aircraft Maintenance Engineer
Big Data Developer | Dallas
The course helped me make a career transition from Computer Technical Specialist to Big Data developer with a 60% hike. The online interactive sessions by trainers are the best thing about Intellipaat.
Computer Technical Specialist
Big Data Developer
Data Scientist | Bengaluru
Intellipaat offered me the best learning experience, and today, I have successfully transitioned from a Manager in Edutech to a Data Scientist. The comprehensive curriculum and the career guidance sessions helped me a lot.
Manager Analytics & Data Science
Data Engineer | Bengaluru
Program Manager | Pune
Thanks to Intellipaat, I was able to switch to the role of a Program Manager from a Microsoft Dynamics Consultant. Gaining knowledge in the latest technologies as per industry standards helped me the most.
Microsoft Dynamics Consultant
Data Science Intern | Gurugram
I was able to achieve my goal of becoming a Data Science professional from being a lecturer, due to Intellipaat. It offered a platform to learn Data Science from the best trainers. The real-life projects were good.
Data Science Intern
55% Average Salary Hike
$1,22,000 Highest Salary
10000+ Career Transitions
300+ Hiring Partners
Our Data Analytics courses in Ashburn are created by experts from top MNCs for professionals to get the top jobs in the best organizations. Further, this Data Analytics online course includes real-time projects and case studies that are highly valuable in the corporate world.
You will receive the Data Analytics Certification from Intellipaat, Microsoft, and IBM. Along with that, you will also be able to clear the following certifications:
Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!
Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.
Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage
Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.
Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.
Assured Interviews upon submission of projects and assignments. Get interviewed by our 500+ hiring partners.
Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.
Dr. Tangirala is a professor at IIT Madras with expertise in analytical chemistry and a keen interest in the fields of Controller Performance Monitoring, Time frequency analysis of Processes, and Fuel cells, etc.
He works as an assistant professor for the Biotech department at IIT Madras and holds a DSc from EPFL, Switzerland. His research interests span from modelling and optimization of biological networks to Machine Learning.
Dr. Babji Srinivasan is working as an assistant professor in the Department of Applied Mechanics at IIT Madras. He holds a Ph.D. from Texas Tech University, and his research interests span from Behavioral Informatics to Cognitive Systems Engineering.
He carries over 15 years of expertise in handling various analytics projects, using several types of ML algorithms in multiple business domains. He also comes with extensive knowledge in SAS, SQL, R, Python and is proficient in Big Data Environment.
Vinayak has over 13+ years of experience and specializes in Data Modeling , preparing KPIs, SQL query, Functional Dashboards with Qlik, Power BI, Sentiment Analysis, etc along with holding a CSM (Certified Scrum Master) certification.
A fellow of the Indian National Academy of Engg.,his research area includes data mining, process design & optimization, FDD etc. He has co-authored several reconciliation papers, a book and a course ‘Data Science for Engineers’ on the NPTEL platform.
Suresh Ramadurai is involved in teaching market research as a visiting faculty at various IIMs and in training analytics professionals. He is an IIT Delhi graduate with a degree in Chemical Engineering and holds a PG Dip. in Management from IIM Bangalore.
The course is thorough, well-structured and provides a comprehensive learning in the Data Analytics field. Also, the practice tests and projects helped me in building strong skills in analytics.
The course content is updated, industry-relevant and taught in-depth by the instructors. The instructors at Intellipaat are well-experienced. The Data Analytics course has helped me put the skills into practice
The trainers are amazing and the lectures included thorough understanding of all the concepts. Real life examples and the career mentoring sessions are useful at every step.
Extremely grateful to Intellipaat. The explanation of topics and concepts were simple and comprehensive. Also, the content was up-to-date and understandable, and the support team was equally helpful.
Great experience learning from Intellipaat. In COVID, the Data Analytics courses proved to be helpful as it provided flexibility in learning. The trainers provided guidance in completing projects and assignments.
It was a great learning experience offered by the trainers of Intellipaat. They provided proper explanation, direction and with the included practice tests you can master the course.
The training provides enough study material, hands-on assignments, and projects that help learners gain more knowledge and required skills. The trainers and support team were very co-operative.
I am pursuing this program currently and the learning has been great. Trainers are professional and use real industry based scenarios to explain the topics. Also, the live classes are interactive.
This Data Analytics course in Ashburn is an industry-designed course to fast-track your career in the field of Data Analytics. If you don’t want to get into programming and spend extra hours coding for becoming a Data Analyst, then this course is for you.
Our online course from Data Analytics training institute in Ashburn let you:
Data Analysis is the process of data cleaning, transformation, and reporting carried out to generate valuable information that can enable business decision-making.
The tools used for Data Analysis make the tasks of data processing, data manipulation, data analysis, and pattern and trend identification much easier. Some of the top Data Analysis tools are:
Data Analytics: Data Analytics involves the process of discovering, interpreting, visualizing, and reporting the patterns in data that can drive business strategy, decisions, and outcomes.
Data Analysis: Data Analysis is a subset of the broader field of Data Analytics. Data Analysis consists of specific actions such as data cleaning, transformation, modeling, and questioning to help find useful information from a single and already prepared set of data.
Data Analysts: Data Analysts are those professionals who come up with meaningful insights from the data. They have both the technical expertise and the communication skills to derive and present quantitative findings to technical and non-technical teams, clients, and stakeholders.
A career in the Data Analytics domain is not just a good career option but one of the most popular careers today. You can find jobs in this domain across a diverse range of industries and companies around the globe by completing Master’s in Data Analytics.
As per the Bureau of Labor Statistics, the estimated growth rate for Data Analytics professionals will shoot up by 23% by the year 2026.
To become a Data Analyst, you must have the following qualifications:
For becoming a Data Analyst, you should meet the following criteria:
You can attain all the necessary skills, gain real-time experience, and receive a certification with the help of Intellipaat’s Python Data Science Course.
Having a college degree in the field of mathematics, probability, or computer science can definitely be beneficial. However, it is not mandatory for you to have the same. The main requirement of becoming a Data Analyst is that you need to possess the necessary skills in this domain. So, having a degree by enrolling yourself in Data Science training can help you immensely, however, it is still a secondary requirement.
Intellipaat offers self-paced training to those who wish to learn at their own pace. This training also gives you benefits like query resolution through email, live sessions with trainers, round-the-clock support, and access to the learning modules on LMS for entire lifetime. Also, you will get the latest version of the course material at no additional cost.
Intellipaat’s self-paced training is priced 75 percent lesser compared to the online instructor-led training. If you face any problems while learning, our team can always arrange a virtual live class with the trainers as well.
At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.
Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.
Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.
You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.
Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.
Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.