IBM is a leading cloud platform and cognitive solutions company. Since 1911, they are known as the largest technology and consulting employer globally, with more than 350,000 employees who work with clients in 170 countries. This collaboration between Simplilearn and IBM provides learners with a once-in-a-lifetime opportunity, helping them distinguish themselves in Artificial Intelligence, Data Science, and other innovative technologies. This Data Analyst course in Austin will turn out to be quite fruitful for the students who wish to build their careers in Data Science.
IBM, along with Watson, is working on an AI platform for business, powered by data and trying to build industry-based solutions for real-world problems. It's been seven decades since IBM has (and still continues to) defined the future of Information Technology with more than 3000 researchers in 12 labs located across six continents.
What can I expect from this Simplilearn's Data Analyst program developed in collaboration with IBM?
Once you complete your Data Analyst course in Austin, you’ll be given a course completion certificate from IBM and Simplilearn. This certificate shows that you have finished your data analyst training through this Data Analyst course in Austin, and will give you a career advantage. You will also have these things with you if you complete the course -
This Data Analyst course in Austin by Simplilearn in collaboration with IBM will give you expertise in this booming data analytics stream. Our Data Analyst training in Austin helps you gain expertise in descriptive and inferential statistics, hypothesis testing, data blending, data extracts, regression analysis, and forecasting. You will also have insights on data visualization techniques by using Tableaus and Power BI and learning ways to organize data and design dashboards.
On the other hand, the program also focuses on non tech workforce to give them an idea about the technicalities. In this Data Analyst training in Austin, you will understand basic concepts of Mathematics and how to apply them.
Our method of instruction gives you expertise in Data Analytics with demos and projects via CloudLab and when you conclude this Data Analyst training in Austin, you will become a certified global Data Analyst.
This Data Analyst course in Austin has been designed to help you fulfill the company's expectations and prove yourself to be a good data analyst. As you complete this Data Analyst training in Austin you will be able to:
The Data Analyst course in Austin contains 15+ real world, industry-based projects so that you can succeed in business analytics and intelligence with practical experience. This Data Analyst training in Austin consists of projects like:
Project 1: Analyse how big MNCs like Amazon and Flipkart implement business intelligence tools to use category analysis.
Project Title - Category of Performance Analysis
Description - As per the Performance Evaluation Program, the subcategories that give a continuous profit for the last four years are announced as the Best Performing Subcategories. Assist the manager in recognizing the major subcategories by looking at the profits and using dashboard features that give an entire picture for subcategory sales.
Project 2: Know and understand how stock markets such as NASDAQ, NSE, and BSE leverage data science and analytics to become data that can be used from complex datasets.
Domain - Stock Market
Description - In this project, you will give Yahoo a data reader for companies like Yahoo, Apple, Amazon, Microsoft, and Google. You will be able to do fundamental analytics, which consists of plotting closing price, plotting stock trade by volume, doing everyday return analysis, and using pair plots to correlate all stocks.
Project 3: Check how banks like Citigroup, Bank of America, ICICI, and HDFC use data science to thrive in the market.
Domain - Banking
Description - A Portuguese banking institute gave a marketing campaign to make the potential customers invest in a bank term deposit. They did their campaigns through phone calls, and there were also times when the same customer was connected twice. Your job will be to analyze the data that has been collected from the marketing campaign.
Project 4: Know and understand how top healthcare industry leaders use data science to increase their business.
Domain - Healthcare
Description - Predictive analytics are used in the healthcare industry for hospital readmissions. In this sector, predictors play a very important role as they can be transferred into action, but at the same time, only real-time data won't help without intervention. To determine the efficacy and value of forecasting a trend and its varying patterns, both the analysis and intervention must be integrated into the same system where the trend developed.
Project 5: Learn how top retail companies such as Walmart and Target use data science to analyze their product placements and inventory.
Domain - Retail
Description - Analytics is a tool used to analyze product placements on shelves or evaluate inventory that is to be kept in the warehouse by using industry examples. In this project, candidates will get to know the product evaluation cycle from shelves to the warehouse. This will help in knowing regular occurrences in the retail sector.
Project 6: Know and understand how insurance leaders such as Berkshire Hathaway, AIG, and AXA use data science by working on a real-life insurance-based project.
Domain - Insurance
Description - Predictive analytics is being used a lot in insurance businesses, especially by MNCs. All the candidates from companies that write over $1 billion in personal insurance make use of predictive modeling. It has helped the insurance companies in expanding their business in the best way possible.
Professionals with an aptitude for analysis in any field should consider this Data Analyst training in Austin and land the perfect job with the help of this Data Analyst course in Austin. One can be from:
Students who want to be successful in this Data Analyst course in Austin and certification training should have a basic understanding of mathematics.
By finishing our Data Analyst course in Austin, one will acquire the necessary data analysis skills to land their dream job as an expert Data Analyst. Various job titles are:
According to the World Economic Forum, by 2022, Data Analysts will be one of the top jobs in the market. Companies and organizations look at Data Analysis as one of the significant factors as it consists of playing with data, which can help any organization earn millions. There is a significant skill gap in data analytics even though there is a high demand for data analysis,which means that there are many excellent career opportunities.
As per the IBM report, data analytics jobs will increase demand in Finance, Insurance, and Information Technology streams. Glassdoor said in 2019 that the average salary of a Data Analyst is $67,377.
Boost your Data analytics career with powerful new Microsoft® Excel skills by taking this Data Analytics course, which includes training on Business Analytics. This combined with an official certificate will put you on the path to a successful career.
This course gives you the information you need to successfully start working with SQL databases and make use of the database in your applications. Learn the concepts of fundamental SQL statements, conditional statements, commands, joins, subqueries, and various functions to manage your SQL database for scalable growth.
Learn how to perform Data Analytics with Python using multi-dimensional arrays in NumPy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn. These Data Analytics courses will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more.
Discover R Programming with this introductory course. Learn how to write R code, utilize R data structures, and create your own functions.
The next step to becoming a Data Analyst is learning R—the most in-demand open-source technology. R is a powerful Data Science and analytics language, which has a steep learning curve and a very vibrant community. This is why it is quickly becoming the technology of choice for organizations that are adopting the power of analytics for competitive advantage.
This Tableau certification course helps you master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics through our Tableau training and gain job-ready skills. Tableau certification is highly regarded by companies for data-related jobs and our Tableau online course trains you to use the tool effectively for preparing data, creating interactive dashboards, adding different dimensions, and drilling into outliers.
Simplilearn’s Data Analyst Capstone project will give you an opportunity to implement the skills you learned in the Data Analyst course. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. The project is the final step in the learning path and will help you to showcase your expertise to employers
Our Data Analytics courses are exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and Data Analytics skills you've gained working on projects, simulations, case studies will set you ahead of competition.
Talk about your Data Analyst certificate on LinkedIn, Twitter, Facebook, boost your resume or frame it - tell your friends and colleagues about it.
I'm happy to share that I have completed my Master's program in Data Analysis and Business Analytics with Simplilearn. It was a fantastic learning experience, and I would like to thanks Simplilearn for letting me acquire this new skill. I'm also glad that I have come across several new connections.
I am a Data Analyst with 7 years of work experience, but I didn't have the chance to work with Statistics. So I enrolled in this course. It's a good course even for beginners. Overall, the training is very good. Thank you Simplilearn.
Data Analytics is a process of inspecting, cleaning, transforming and modeling data to discover useful information and support decision making to achieve business goals. There are various data analysis qualitative and quantitative methods and analytical or statistical tools used to extract the useful information and translate them into insights to make better business decisions, most of which are covered in the Data Analytics Courses.
Data analysts play a unique role among the many data-centric jobs often found in today's businesses. A Data Analyst commonly works on collecting and interpreting data, analyzing the outcome, and reporting the results back to the relevant team. A Data Analyser also works closely with identifying patterns and trends in data sets, working alongside organizations within the business or the management team to establish business needs, define new data collection and analysis processes, and add real value to a company.
Data Analytics is one of the major areas to explore in this digitalized world. To learn data analytics, you need to have an in-depth understanding of SQL, Python or R programming, data visualization techniques, statistics, regression, and more. While you can get started on your own, it is recommended to enroll in a University partnered Data Analytics Program to learn data analytics from Purdue faculty. You’ll get up-to-date knowledge of the field and know about the strategies and best practices that are actually followed by companies.
This Data Analyst certification course in Austin developed in collaboration with IBM will give you sufficient insights into data analytics tools and methodologies to excel in your next role as a Data Analyst. You will earn an industry-recognized certification from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. The Data Analyst course will train you on statistics essentials, SQL basics, data science, and data visualization using R and Python, Business Analytics with Excel, Power BI, and data visualization with Tableau Desktop 10.
Upon completion of this Data Analyst course in Austin, you will receive the certificates from IBM and Simplilearn for courses in the learning path. These certificates will testify to your skills as an expert in Data Analysis. You will also receive the following:
You can enroll in this Data Analyst certification training in Austin on our website and make an online payment using any of the following options:
Once payment is received you will automatically receive a payment receipt and access information via email.
This Data Analytics certification course consists of the following modules:
Yes, anyone embarking on a career as Data Analyst can take these Data Analytics courses. Getting certified will demonstrate your seriousness towards the field and help you build a strong foundation in data analytics concepts.
If you have a computer science or related background and you are good at mathematics, statistics, and dealing with data, then chances are a Data Analyst role will be a great fit for you. With accelerating digital transformation across all industries, data analysts will be in high demand in the future. You can get started with this Data Analytics certification course to develop the necessary skills to be successful.
This Data Analytics certification course is suitable for professionals with programming experience as well as non-programming backgrounds. However, it is recommended to have a basic understanding of programming languages like SQL, Java, Python, or R.
This Data Analyst training gives you a step-by-step guide to master all the topics that a Data Analyst should know. Apart from the theoretical knowledge, you’ll get to work on projects which will make you industry-ready. The Data Analytics certification course is specifically curated to impart those skills that employers actually consider under the Data Analyst qualification.
There are many professionals who want to start a career as Data Analyst but skeptical about where to begin. Simplilearn has addressed this concern by helping candidates learn everything from scratch. So, beginners will find it easy to comprehend the course material right from day one.
Following is the list of courses for which you will get IBM certificates:
Yes, our Data Analyst course is completely online. You don’t need to attend classes at a physical location. You can access the course material anywhere using a system connected to the internet.
Upon completion of the following minimum requirements, you will be eligible to receive the certificate that will testify to your skills as an expert in Data Analyst.
|Course||Course completion certificate||Criteria|
|Introduction to Data Analytics||Required||85% of Online Self Paced completion|
|Data Analytics with Python||Required||85% of Online Self Paced completion|
|Data Science with R||Required||85% of Online Self Paced completion or Attendance of 1 Live Virtual Classroom, And Score above 75% in the course-end assessment And successful evaluation in at least 1 project|
|Business Analytics with Excel||Required||85% of online self-paced completion and successful evaluation in at least one project|
|Tableau Desktop 10 Training||Required||85% of online self-paced completion OR attendance of one live virtual class and successful evaluation of at least one project|
|Power BI||Required||85% of Online Self Paced completion|
|Data Analyst Capstone||Required||Attendance of one Live Virtual Classroom AND successful evaluation in at least one project|
Simplilearn’s Data Analytics certification course has a rigorous curriculum designed by industry experts. It is recommended that you follow the lessons in the same order as detailed in the learning path for the best learning experience.
Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or Request a callback.
All of our highly qualified Data Analyst course trainers are business intelligence industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified as Data Analyst in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.
We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Data Analytics course with us.
Yes, Simplilearn provides a Professional Certificate Program in the Data Analytics in partnership with Purdue University. The Professional Certificate Program in the Data Analytics will give you broad exposure to key technologies and skills currently used in Data Analytics and Data Science, including Statistics, Python, R, Tableau, SQL, and Power BI.
You typically need a combination of education and experience in data analysis, statistics, and computer science. Here are some qualifications that can help you become a data analyst:
Try out the data analyst course. You will become a master of data analytics after taking this IBM-sponsored Data Analyst course. This course on data analytics covers the newest analytics tools and techniques, R and Python programming, SQL database administration, the art of data visualisation, and the use of statistics and predictive analytics in a business context.
Being a data analyst can be challenging as it requires a combination of technical and analytical skills, but it also can be a rewarding job. The job of a data analyst involves analyzing and interpreting large amounts of data, and using that information to help organizations make better decisions.
Data analysts need to have strong analytical and problem-solving skills, as well as experience with statistical analysis, data visualization, and data mining tools. They also need to be proficient in programming languages such as Python, R, and SQL, as well as experience with data manipulation and analysis tools such as Excel, Tableau, and SAS.
The job can be challenging because data analysts need to be able to work with large and complex data sets, and must be able to extract insights and make sense of the data. They also need to be able to communicate their findings to non-technical stakeholders and make recommendations based on the data.
Data analysis is a rapidly growing field and the demand for data analysts is increasing across many industries. Here are a few placement trends for data analysts:
Simplilearn is a well-known provider of online education and training programs in a wide range of subjects, including data analysis, machine learning, and artificial intelligence. Whether a Simplilearn certificate is valuable depends on a variety of factors such as the quality of the course, the level of the certification, and the employer's perspective on the certification.
Simplilearn provides a wide range of courses and certifications, and they have a good reputation in the online education space. They partner with industry experts and have a good curriculum, which can be valuable for professionals looking to gain new skills or advance their careers.
You will obtain IBM credentials for the IBM courses and Simplilearn certifications for every course in the learning path after completing Simplilearn's online data analyst courses. These credentials will attest to your abilities and demonstrate your knowledge of data analytics. The following advantages are also available to you as part of this Data Analytics certification program:
The salary for a data analyst can vary depending on factors such as location, industry, and level of experience. On average, data analysts in the United States can earn a median salary of around $68,000 per year, with top earners making over $120,000 per year. It's important to note that these are approximate numbers and the actual salary can vary greatly.
A data analyst learner may work on various projects, depending on the course or program they are enrolled in. Some common types of projects that data analyst students may work on include:
It's important to check the course details and syllabus before enrolling to get more information about the projects that will be covered.
Yes, you get the recordings of all the classes so that you can revise and watch the content whenever you want! So, don't worry as you all will have lifetime access to the data analyst course.
Since these languages are frequently used for data modification and analysis, knowledge of programming languages like Python or R is frequently necessary for data analytics. For retrieving and altering data contained in databases, an understanding of SQL is essential. For the purpose of developing interactive visuals that can assist in explaining results to stakeholders, knowledge of data visualization tools like Tableau, Power BI, or ggplot is crucial. Understanding and interpreting data requires a working knowledge of statistical methods including regression analysis, correlation analysis, and hypothesis testing. Even if you are unfamiliar with any of them, you should still enroll in the course since it will help you develop these skills so that you may succeed in the data analytics course.
Data analysis is a promising career field. With the increasing amount of data being generated by businesses, governments, and individuals, there is a growing demand for professionals who can collect, process, and analyze that data to extract valuable insights. According to the Bureau of Labor Statistics (BLS), employment of data analysts and data scientists is projected to grow 11% from 2019 to 2029, much faster than the average for all occupations.
Yes, Excel skills are essential for becoming a data analyst. Proper Excel training equips you with the necessary knowledge and techniques to effectively analyze and manipulate data. Here's why Excel skills gained through training are important for aspiring data analysts:
Data Manipulation: Excel training teaches you how to efficiently clean, transform, and organize data using features like sorting, filtering, and data validation. These skills are crucial for preparing data for analysis.
Formulas and Functions: Excel training covers a wide range of formulas and functions, enabling you to perform calculations, statistical analyses, and data modeling. Understanding and utilizing these capabilities enhance your ability to derive insights from data.
Data Visualization: Excel training teaches you how to create visually appealing charts, graphs, and dashboards to present data in a meaningful way. Effective data visualization is essential for conveying findings and making data-driven recommendations.
Data Analysis Tools: Excel offers numerous built-in tools such as pivot tables, conditional formatting, and data analysis add-ins. Through training, you learn how to leverage these tools to gain deeper insights and perform complex analyses.
Efficiency and Productivity: Excel training equips you with time-saving techniques, shortcuts, and best practices. These skills improve your efficiency in handling large datasets and performing repetitive tasks, ultimately increasing your productivity as a data analyst.
Collaboration and Compatibility: Excel is widely used in organizations, making it important for data analysts to have the skills to collaborate and share data effectively. Excel training helps you understand file compatibility, data sharing options, and collaboration features within Excel.
By gaining Excel skills through training, you enhance your ability to manipulate, analyze, and visualize data efficiently, enabling you to excel in the role of a data analyst and contribute effectively to data-driven decision-making processes.
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