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Become a certified Data Analyst by enrolling in our Data Analytics course in Dallas, designed by top SMEs for beginners and experienced professionals alike. Our instructors will help you master R programming, SAS, MS Excel, etc. In the training program, you will also get 24/7 support from our experts.
Course 1
Data Transformation using Excel & Python
Course 2
Data wrangling with SQL
Course 3
Presto
Course 4
Intro to Data Science & Statistics
Course 5
Business Problem Solving
Course 6
Optimization Techniques
Course 7
KNIME
Course 8
Statistics and ML using R Programming
Course 9
Predictive Modeling
Course 10
Time-Series Forecasting
Course 11
Feature Engineering
Course 12
Advance ML Techniques
Course 13
Data Science Execution Strategy
Course 14
Business Case Studies
Course 15
Visualization using Power BI
Course 16
Data Science Capstone Project
500% salary hike received by a working professional post completion of the course*
Fresher earned 30 LPA salary package on completion of the course*
53% of learners received 50% and above salary hike post completion of the program*
85% of the learners achieved their training objectives within 9 months of course completion*
95% learner satisfaction score post completion of the program/training*
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These Data Analytics courses in Dallas ensure that you become proficient in Data Analytics methods, concepts, and tools, such as Hadoop, Qlik Sense, manipulation of data, regression modeling, Big Data Hadoop, and more.
Following are some of the topics that we teach in this Data Analyst course in Dallas:
Following are a few differences between Data Analysts and Business Analysts:
Professionals who are eligible to take up our Data Analytics course in Dallas are mentioned below:
Though there are no prerequisites to apply for Data Analytics classes in Dallas, you can have the following skills to boost up your learning:
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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.
SQL
Data Wrangling
Data Analysis
Prediction algorithms
Data visualization
Time Series
Machine Learning
PowerBI
Advanced Statistics
Data Mining
R Programming
Learn how to do data analysis, data transformation and other important data analysis functions. Basic fundamentals 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
2.7 Subqueries
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
10.2 Correlation
10.3 Forecasting
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
11.5 Boosting
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
In the Data Science & Business Analytics Capstone project, you will use all the knowledge and skills you have acquired throughout this advanced certification program and get real world Industry project exposure.
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The application is free and takes only 5 minutes to complete.
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.
55% Average Salary Hike
$1,22,000 Highest Salary
10000+ Career Transitions
300+ Hiring Partners
*Past record is no guarantee of future job prospects
Our Data Analytics courses in Dallas 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 10+ 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 upskilling 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.
Placement opportunities are provided once the learner is moved to the placement pool. Get noticed by our 400+ 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.
$527
Intellipaat’s Data Analytics certification in Dallas is an industry-designed course, designed for you to fast-track your career in the domain of data analytics. If you don’t want to get into the nitty-gritty of programming and spend lengthy hours in coding necessary for becoming a Data Analyst, then Intellipaat’s courses on Data Analytics is for you.
The online Data Analytics courses involves the following:
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.
If you are looking for free resources on Data Analytics then read our blogs on Data Analytics tutorial, Data Analytics Interview Questions and also visit our Youtube channel for free videos.
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.
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