Data Analytics Course in Austin

Data Analytics Training in Austin Overview

The trainers of Intellipaat’s data analytics courses in Austin will make sure that you acquire all the skills in data analytics, along with its tools and technologies, including Hadoop, Tableau, Qlik Sense, etc.

What concepts will you learn from these data analytics courses in Austin?

With the help of our Data Analytics course in Austin, you will gain an in-depth understanding of the following modules:

Data Science using R
Exploring, manipulating, and visualizing data
Probability and statistics
Machine Learning concepts
Logistic regression, random forest, and decision trees
Tableau and its architecture
Data blending
Qlik Sense
SAS and MS SQL
Advanced Excel

Who must register for Intellipaat’s data analytics classes in Austin?

The following professionals should apply for this data analyst course in Austin:

Developers
Data Analytics professionals
Project Managers
BI professionals
Information Architects

Non-technical professionals working in HR, finance, and other similar fields can also learn and gain much knowledge by signing up with us.

How are data analysts different from business analysts?

Some of the differences between business analysts and data analysts are listed below:

While business analysts analyze the historical data of a company, data analysts evaluate the business requirements.
Business analysts work on the process of building, implementing, analyzing, and reporting business capabilities, whereas data analysts work on the entire data analysis life cycle.

Why register for our data analytics courses in Austin?

You must enroll in the data analytics training in Austin for the reasons mentioned below:

There are over 410 vacant jobs for data analytics professionals in Austin – LinkedIn
The annual average income of a data analyst in Austin, Texas, is around US$61,200 per year – Glassdoor
Major organizations, such as Facebook, PayPal, etc. are hiring data analytics professionals in Austin – Indeed

What are the must-have skills to sign up for the data analytics certification in Austin?

To register for our Data Analytics classes in Austin, you should have skills in probability, statistics, and data analysis, along with an interest in learning data analytics.

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Meet the Data Analytics Mentors

Dr. Balasubramanian R

Professor at IIT Roorkee

Dr. Balasubramanian is a Professor at IIT Roorkee. He completed his PhD from IIT Madras in Mathematics and Computer Science and has 20 years of experience.

Dr. Sushanta Karmakar

Associate Professor at IIT Guwahati

Dr. Sushanta Karmakar is an Associate Professor at IIT Guwahati. He received his Ph.D. from IIT Kharagpur in the Computer Science and Engineering department and has over 15 years of experience.

Dr. Narendra S. Chaudhari

Professor at IIT Indore

Dr. Narendra Chaudhari, Professor of Computer Science and Engineering at IIT Indore, Dr. Narendra Chaudhari, a Professor at IIT Indore, specializes in network security, mobile computing, and machine learning. He holds a Ph.D. from IIT Bombay and has previously served as the Director of VNIT Nagpur and Vice Chancellor of Uttarakhand Technical UniversityRead More

Chandresh Kumar Maurya

Professor at IIT Indore

Chandresh Maurya, a dynamic professor at IIT Indore with over 12 years of experience, excels in driving innovation and growth through his expertise in multimodal data processing, AI, ML, and DL. He has a proven track record of leading cross-functional teams and managing complex projects to deliver impactful solutions. His strategic vision and ability to tackle challenges have consistently enhanced operational efficiency and advanced research in Speech and NLP.Read More

Muthusamy Manigandan

Data Science Consultant, Ex-Apple

He comes with more than 16 years of experience and worked with top MNCs like Apple, Amazon, etc.

Dr. Surya Prakash

Associate Professor Department of Computer Science at IIT Indore

Dr. Surya Prakash, Associate Professor of Computer Science at IIT Indore, holds a B.Tech from IIT Kanpur, a Master’s from IIT Madras, and PhD from IIT Kanpur in Computer Science and Data Analytics with around 12 years of experience.

Dr. Vivek Kanhangad

Professor Department of Electrical Engineering at IIT Indore

Dr. Vivek Kanhangad did his Ph.D from Hong Kong PolyU. He specializes in computer vision, data analytics, pattern recognition, biometrics, and biomedical applications.

Birendra Kumar Sahu

Head of Data Engineering and Science at Razorpay

He has 15+ yrs of IT experience and currently working as CTO at Razorpay. He has contributed to 85 intellectual disclosure reports, 4 USA patents, and a lot of research papers.

Suman Mukhopadhyay

Senior Director & Head of Technology Infrastructure / Cloud and Data Analytics at EdgeVerve

He has 23 yrs of experience in IT and worked at top MNCs like AT&T, Yahoo, Walmart, etc. He has managed multiple large-sized teams and multiple Data Science & AI projects.

Shajee Pulukkool

Head - Data & Analytics at Rapyder Cloud Solutions

Shajee Pulukkool is working as the head of Data & Analytics. He comes with 22+ years of experience in software design & solutions.

What are the different job roles that I can apply for after this course?

Data Analyst

Data Analysts perform the entire life-cycle of data analysis, create reports and dashboards, identify trends, and monitor KPI metrics.

Data Scientist

A data scientist is responsible for performing statistical analysis to build machine learning systems statistical modeling to visualize insights and develop complex models from large datasets.

Data Analytics Specialist

A data analytics specialist collects, organizes, interprets, and summarizes numerical data to provide usable information.

Visualization and Reporting Analyst

Create data visualizations, such as reports, graphs, presentations, and dashboards, that are eye-catching, interactive, and easy to understand.

Business Intelligence Analyst

Identify, develop, and execute business analysis techniques to allow the team to make essential business decisions.

Business Analyst

Produce detailed reports and dashboards of high quality to give intuitive presentations.

11+ Skills to Master

Proficient in SQL

Knowledge in Data Wrangling Techniques

Analyzing Complex Datasets

Predictive Models and Algorithms

Skilled in Data Visualization Techniques

Time Series Analysis and Forecasting

Strong Foundation in Machine Learning

Data Modeling and Reporting in Power BI

Expertise in Advanced Statistics

Data Mining Techniques

Statistical Computing

Tools to Master

Data Analyst Course Curriculum

Live Course Industry Expert Academic Faculty

Getting Started with Foundations of Data Analytics

Diving into Structured Query Language (SQL) for Data Management

Preview

Gain a basic understanding of SQL, including the Entity Relationship Model (ERM) and database normalization concepts
Elaborate SQL operators and demonstrate operations such as joins and subqueries
Learn how to use stored procedures, views, and SQL functions to manipulate and retrieve data efficiently
Explain SQL optimization strategies to improve performance and manage database concurrency to maintain data integrity, consistency, and isolation

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Explore Python Programming Language for Data Analysis and Visualization

Preview

Exploring the basics of Python programming and how to set up IDEs. Also, understand the fundamental concepts of Python, such as syntax, data types, operators, and control structures
Grasping the Object-Oriented Programming (OOP) concepts, including classes, objects, inheritance, and polymorphism
Acquire practical experience with data manipulation using Python libraries such as NumPy and Pandas and learn to visualize data

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Applying Essential Concepts of Statistics And Probability

Learn the concepts of Descriptive Statistics, covering measures of Central Tendency, Dispersion, and Data Visualization Techniques, and understanding the application of probability for decision-making and statistical modeling
Dive into Inferential Advanced Statistics, including hypothesis testing and confidence intervals

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Learn Machine Learning Algorithms and Advanced Analytics Techniques

Diving into Core Concepts of Machine Learning

Understanding Fundamental of Machine Learning Concepts: Supervised and Unsupervised Learning, Model Evaluation, Clustering algorithms, and Feature Engineering
Learn Regression and its types (linear, logistic, and polynomial regression)
Explore Classification Algorithms, covering Decision Trees, Support Vector Machines, and Neural Networks

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Examine Performance Metrics in Machine Learning

Learn how to develop Classification reports using metrics such as Precision, Recall, Accuracy, Macro average, and Weighted Average
Describe how to Use the Confusion Matrix for Model Evaluation and Monitoring

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Applying Advanced Techniques in Time Series Forecasting

Performing time series data analysis, gathering insights and practical forecasting solutions using time series forecasting

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Implementing Real-world Business Applications, Case Studies, and Capstone Projects

Exploring Business Applications, Case Studies, and Capstone Projects

Grasp different business domains such as finance, marketing, retail, and supply chain and articulate their distinct functions
Gain knowledge about formulating hypotheses for numerous business problems on samples and populations
Study about exploratory data analysis (EDA) and how it facilitates the foolproof production of actionable insights
Study how to narrate business problems and solutions in a simple, relatable format that makes them easier to understand, grasp, and recall
Develop actionable insights from raw, unstructured data to deploy real-world business solutions

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Building Data Analytics Capstone Project

Define the problem statement and project objectives to contrast the scope of the data analytics capstone project. Alongside, build an approach to solving the problem by implementing optimal solutions using data analysis and modeling techniques
Use evaluation metrics and actionable insights to assess the performance of the optimal solutions

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Explore the Real-Time Business Case Studies

In this case study on Customer churn, you will be using predictive modeling to find the causes of customer attrition to enhance customer retention
This case study on sales forecasting uses statistical methods and predictive analytics. It implements historical data and statistical techniques to predict future sales trends for better decision-making
Using Census Data for Demographic Insights, this case study analyzes demographic data to guide product development and targeted marketing strategies
This case study on predictive modeling focuses on real-world scenarios to improve decision-making and operational efficiency
This case study on HR Analytics uses workforce data to forecast turnover and improve recruitment and performance tactics
This case study on dimensionality reduction techniques illustrates the use of methods such as PCA to streamline datasets, improving model performance and efficiency
In this housing price prediction case study, implement statistical methods to predict real estate prices based on affecting factors
This case study on customer segmentation focuses on finding various customer segments for customized marketing and better experiences
In this inventory management case study, you will be using analytics to optimize inventory stocks, reduce capex and opex, and ensure product availability
In this case study on disease prediction, you will be implementing machine learning on patient data to analyze disease occurrence and take the necessary steps

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Elective

Learn Microsoft Excel for Data Analysis and Visualization

Preview

Mastering Excel For Data Analytics, Visualization, and VBA macros for automation
Explore the methods for ensuring data and file security

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Visualizations using Power BI

Demonstrate Data Visualization and Analytics with Power BI for Managing Reports and Dashboards
Explore real-time applications of DAX in developing reports and dashboards

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Job Readiness Training and Support Program

Learning Job Search Strategies to establish networking and interview skills
Learn how to build an effective resume and manage a LinkedIn profile
Interview Preparation and Mock Interview Sessions Led by Industry Professionals
Placement opportunities with 400+ hiring partners upon passing the Placement Readiness Test (PRT)

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Project Work

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.

Predicting a Flower's Class Using Petal Data

This project will help you predict a flower’s class. By analyzing the data about the petals and their dimensions, we will train a machine-learning model that can accurately predict a flower class by analyzing each petal.

Deploying Data Analytics on Census Dataset

The project uses machine learning techniques, such as supervised and unsupervised algorithms, to analyze and predict whether an individual's annual income is more than INR 50,000 or less based on various input parameters.

Model for Credit Card Fraud Detection

The project will develop a model that will assist in detecting credit card fraud by applying machine learning algorithms, such as supervised, unsupervised, reinforcement learning techniques, neural networks, and random forests.

Identifying Factors in Telecom to Opt for the Pre-paid Model

This project aims to analyze the factors that have the maximum impact on the preferences of pre-paid billing types and identify the highly correlated variables of these impacting factors.

Pokemon Analysis

Choose a Pokemon whose primary type is “grass" and whose secondary type is “poison” with the maximum speed. Using machine learning and data analysis techniques, develop a model that predicts whether the selected Pokemon is legendary or not.

Stock Market Price Analysis

This project will use machine learning to develop a predictive data model for predicting future stock prices. It will also use k-nearest neighbors and linear regression algorithms to analyze current stock market trends.

Comment Identity and Classification

Work on the Yelp comment dataset to deploy a multi-headed model to identify and categorize toxic comments (obscenity, insults, threats, etc.). It must enable the user to find and choose the necessary type.

Book Recommender

This project aims to develop a book recommendation engine based on an individual's past reading and buying history.

Loan Approval Prediction

The project seeks to determine the variables correlated with impacting factors to analyze the likelihood of the loan application being approved or denied. Methods like random forests, decision trees, and logistic regression are used to forecast it.

Netflix Prize Dataset using Recommendation Engine

The recommendation engine is developed using the Netflix prize dataset. It collects data about a user from numerous sources, anticipates their requirement, and recommends movies based on the user’s behavior and choices made earlier.

Data Analyst Course Reviews

( 84,718 )

Shubham Shinde

Prasad Kulkarni

Naman Jain

Sampson Basoah

Tableau Developer

This masters in data analytics content is thoroughly prepared, updated, and taught by the Data Analytics training institute in Austin instructor in-depth. The course content is taught step-by-step by the trainer. I was a beginner in the field of Data Analytics but this course helped me to become proficient in Data Analytics.Read More

Ramyasri Mandepudi

Recruiter at Goodwill Technologies

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.

Kevin K Wada

Oracle Developer at Free Agent

The course is thorough, well-structured, and provides a comprehensive knowledge of the Data Analytics field. The practice assignments and projects helped me a lot in nourishing my skills.

Remona Yacoop

Teacher at VIBGYOR Group of Schools

The data analytics course in Austin is a great training program. It was an amazing experience learning from Intellipaat. During COVID-19 lockdown, it was extremely fruitful to learn and spend ample amounts of time as a part of this institute. Intellipaat has also provided great support during the course. Besides, the instructor was very supportive in the course; guidance was also given to complete assignments and projects, which was very helpful.Read More

Karthikeyan Ganesan

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.

Sagnik Biswas

Programming Analyst at Cognizant

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.

Prachi Mohan

Business Analyst at Enterprio

The training provides enough study material, hands-on assignments, and projects to help learners gain more knowledge and the required skills. The trainers and support team were very cooperative.

Mudit Aggarwal

Process developer at Genpact

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.

Jijeemandati

Software Engineer at Akebono Soft Technologies

I had really a great learning experience from intellipaat. I found it as one of the best Online Data Analytics course because it is much more convenient than classroom. Support team is quick in responding, training material is good and the best feature of intellipaat Data Analytics online training is the lifetime access of the course material.Read More

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Data Analytics Training FAQs

Why should I enroll in data analytics certification courses in Austin provided by Intellipaat?

Intellipaat’s Data Analytics Online Certification Course is an industry-designed course to fast-track your career in data analytics. If you don’t want to get into the nitty-gritty of programming and spend long hours coding, then Intellipaat’s Data Analytics certification course is for you.

The online data analytics courses involve the following:

You will work on real-life projects
You will work on industry grade assignments with high relevance in the corporate world
You can apply for best Data Analyst and Data Science jobs in top MNCs

You will get lifetime access to the course and the course material, along with lifetime upgrade and 24/7 support

What are the other best big data and data science certification courses in Austin?

Intellipaat is the leading course provider. Our Institute provides top courses like Big Data, Data Science course, Machine Learning, Artificial Intelligence course online, Python, Data Science with python, and Business Analytics Course.

Does Intellipaat provide any free data analytics resources?

If you are looking for free resources on data analytics then read our blogs on data analytics tutorials, data analytics interview questions, and also visit our Youtube channel for free videos.

What do you mean by data analysis?

Data analysis is the process of data cleaning, transformation, and reporting carried out to generate valuable information that can enable business decision-making.

What are the different tools used for data analysis?

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:

R programming
Tableau Public
QlikView
RapidMiner
KNIME
Excel
Apache Spark
Splunk
SAS

What is the difference between data analysis vs data analytics vs data analyst?

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.

Is data analytics a good career option?

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.

What is the qualification for becoming a data analyst?

To become a data analyst, you must have the following qualifications:

For entry-level jobs, you need to have a Bachelor’s degree
For jobs at a higher-level position, you must have a Master’s degree
You should have a degree in the field of statistics, mathematics, computer science, or other similar domains.

How do I become a data analyst?

For becoming a data analyst, you should meet the following criteria:

Gain a Bachelor’s ,or a Master’s degree in statistics computer science, or in the IT field
Acquire the skills required to become a Data Analyst
Gain experience in the Data Analytics field
Consider getting a certification from a reputed institute

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.

Can I become a data analyst without any college degree?

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.

Can you explain the benefits of Intellipaat’s self-paced training?

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.

Data Analytics Course in Austin

Rated #1 Data Analyst Course by Economic Times