Access hackathons, masterclasses, and AMA sessions. Earn IBM certificates for IBM courses.
Capstone and 20+ industry-relevant data analytics projects to ensure comprehensive learning
Learn tools like Tableau, Excel, SQL, Python, R, PowerBI and more
Comprehensive data analytics curriculum with live online classes by industry experts
Get lifetime access to self-paced e-learning content
This data analyst course, in collaboration with IBM, will transform you into a data analytics expert. In this course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.
Get certified in data analytics with this IBM program. Access masterclasses by experts, and AMAs with leadership. Earn Data Analyst and IBM certificates plus complete capstone projects. Advance your career now!
This Data Analyst course, in collaboration with IBM, will transform you into a data analytics expert. In this Data Analyst certification course, you will learn the latest analytics tools and techniques, how to work with SQL databases, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.
This joint partnership between Simplilearn and IBM introduces students to an integrated Blended Learning approach, making them experts in data analysis. This Data Analyst certification course, in collaboration with IBM, will help students become industry-ready for top data analyst job roles.
Simplilearn’s Data Analyst course delivered in collaboration with IBM will provide you with extensive expertise in the booming field of data analytics. This Data Analyst training will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extraction, and forecasting. Through this Data Analyst course, you will also gain expertise in data visualization techniques using Tableau and Power BI, and learn how to organize data and design dashboards.
This Data Analyst course is designed to help those currently employed in the non-technical workforce learn work-ready data analytics skills easily. Those with a basic understanding of mathematical concepts and with the intent to learn programming and other required skills will be able to complete the Data Analyst certification course and be on their way to becoming Data Analyst.
This Data Analyst training offers a comprehensive course curriculum combining live-online instructor-led classes and self-paced learning videos. The learning experience seamlessly melds theoretical data analytics concepts with hands-on demos and projects. This course concludes with a capstone project designed to reinforce the learning by building an industry-relevant product encompassing all the key aspects learned over the course. The skills acquired through this Data Analyst training will prepare you for the role of a Data Analyst.
The World Economic Forum predicts that, by 2025, Data Analysts will be one of the hottest jobs on the market. Organizations view data analysis as one of the most crucial skills due to the value that they can help derive from data. With over 2.5 quintillion bytes of data created each day, data is more abundant and accessible than ever in today’s business environment, and with the ever-increasing skill gap in data analytics today, the value of Data Analysts is continuing to grow, creating new jobs, and career advancement opportunities.
The fact is that professionals who enter the Data Analytics field now will have their pick of jobs and enjoy lucrative salaries. Future of Jobs Report 2023 estimates that, by 2027, more than 50% of additional jobs will be created in the big data analytics domain. Roles growing in demand include data analysts and scientists, AI and machine learning specialists, robotics engineers, software and application developers, and digital transformation specialists.
The facts are that professionals who enter the Data Analytics field will have their pick of jobs and enjoy lucrative salaries. According to Glassdoor, the average salary of a data analyst is around $82,000/year and can go as high as $165,000/year.
The fee for the Data Analyst course is $2000. EMI plans are available for 6, 12, and 18 months. EMI starts at $125 per month.
Contact us by dialing our toll-free number 844-532-7688 to avail this payment option.
Upon completion of Simplilearn’s Data Analyst Course online, you will receive IBM certificates for the IBM courses and Simplilearn certificates for all the courses in the learning path. These certificates will testify for your skills and assert your Data Analytics expertise. You can also avail the following benefits as part of this Data Analyst certification course:
The Data Analyst course can be completed in around 11 months if you dedicate a few hours daily to learning.
This Data Analyst certification course includes 20+ real-life, industry-based projects in different domains to help you master various concepts in data analytics.
Capstone Project:
You will go through dedicated mentor classes in order to create a high-quality industry project, solving an industry-relevant problem by leveraging the skills and technologies learned throughout the program. The capstone project will cover all the key aspects of data analytics - from data extraction, cleaning, and visualization to model building and tuning. You also get to choose the domain/industry dataset you want to work on from the options available.
After successful submission of the project, you will be awarded a capstone certificate that can be showcased to potential employers as a testament to your learning and expertise.
Course End Projects
Projects that mimic business problems to help apply the concepts learned during a specific course. Typically these projects take 3 - 4 hours to complete.
Projects are as follows:
APP RATING RECOMMENDATIONS
Domain: Technology
The Google Play Store team is launching a new feature that boosts the visibility of certain promising apps. This boost will manifest in multiple ways, including being displayed as a higher priority in the recommendations sections. Make a model predict the app rating, with other information about the app provided.
COMCAST TELECOM CUSTOMER COMPLAINTS
Domain: Telecommunications
Comcast is an American global telecommunication company. The firm has been providing terrible customer service and they continue to fall short despite repeated promises of improvement. Utilize the existing database of customer complaints as a repository to find a solution to improving customer satisfaction.
E-COMMERCE SALES DASHBOARD
Domain: E-commerce
An online e-commerce company wants to design a sales dashboard to analyze sales based on various product categories. The company wants to make it easier for users to select the products they are looking for and consequently improve sales. Help users select and review information about the products they are considering.
COMPARATIVE STUDY OF COUNTRIES
Domain: Geo-political
Create a dashboard to do a comparative study of different countries on various parameters using the sample insurance data set and world development indicators data set.
SALES PERFORMANCE ANALYSIS
Domain: Retail
Build a dashboard that shows monthly sales performance by product segment and product category to help clients identify the segments and categories that have met, exceeded, or failed their sales targets.
ANALYSIS OF SALES REPORT OF A CLOTHES MANUFACTURING OUTLET
Domain: Manufacturing
A high-end fashion retail store is looking to expand its product line. It wants to understand the market and find the current trends in the industry. Automate the recommendations of the attributes of the products, predict sales trends, understand the factors impacting sales, and regularize the rating procedure of the product with the given data sets.
COLLEGE ADMISSION
Domain: Education
Every year, thousands of applications are submitted by international students for admission to colleges in the U.S. It becomes an iterative task for the Education Department to know the total number of
applications received and then compare that data with the total number of applications successfully accepted and visas processed. Hence, to make the entire process easy, the education department in the U.S. needs to analyze the factors that influence the admission of a student into colleges.
IDENTIFYING AND RECOMMENDING THE BEST RESTAURANTS
Domain: Food
A restaurant consolidator is looking to revamp the B2C portal using intelligent automation technology. This requires creating two different matrices to identify “high-star” restaurants and generate recommendations. To create an effective model, it is critical to understand the behavior of the
consumers who are generating the data. You are required to create reports on the top-rated restaurants, generate recommendations by inspecting data and utilizing exploratory data analysis and share your findings with all stakeholders through intuitive dashboards.
PREDICTING LOAN DEFAULTERS
Domain: Banking
Financial institutions incur significant losses due to defaults on vehicle loans. This has led to the tightening up of vehicle loan underwriting and increased loan rejection rates. The need for a better credit risk scoring model among these institutions is evident. This warrants a study to estimate the determinants of vehicle loan default rates. Determine and examine factors that affect the ratio of vehicle loan defaulters. Also, use the findings to create a model to predict potential defaults on agreements.
EXAMINING FACTORS RESPONSIBLE FOR HEART ATTACKS
Domain: Healthcare
Cardiovascular diseases are one of the leading causes of death globally. Identifying the causes and developing a system to predict potential heart attacks in an effective manner is critical. The data presented has all the information about relevant factors that might have an impact on cardiovascular health. The data needs to be studied in detail for further analysis. Determine and examine the factors that play a significant role in increasing the rate of heart attacks. Also, use the findings to create and predict a model.
Data analysis is one of the trending career domains at present. You can take an online course to learn data analysis from scratch. When selecting a reliable certification course, ensure that its syllabus includes all the important concepts helpful in a data analyst job.
The Data Analyst course syllabus includes topics like analytics tools and techniques, Python or R programming, descriptive statistics, inferential statistics, working with SQL, data blending, hypothesis testing, data extraction, and regression analysis, among others. The Data Analyst course syllabus also includes knowledge of tools like MS Excel, Power BI, NumPy, and Tableau.
Accelerate your career trajectory with our extensive data analytics course curriculum. Delve into foundational statistics, master data analysis with Python and R, navigate databases using SQL, and harness the power of visualization with Tableau and Power BI.
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
Simplilearn's Power BI certification training allows you to delve into Microsoft Power BI concepts, covering aspects like Power BI Desktop layouts, BI reports, dashboards, DAX commands, and functions. This course curriculum is aligned with PL-300: Microsoft Power BI Data Analyst certification. Conveniently learn to experiment, refine, prepare, and present data quickly and easily with our comprehensive Power BI training. Learn Power BI through a hands-on applied learning approach.
Attend this interactive, online industry master class to gain insights about cutting edge Data Analytics advancements and techniques.
Data Science and Analytics jobs are projected to see growth by 31% in the upcoming decade. The data analytics market is estimated to reach $24.63 Bn in 2021 and is projected to grow at a compound annual growth rate of 25 per cent from 2021 to 2030.
Expected New Jobs for Data Science and Analytics
Annual Job Growth by 2030
Average Annual Salary
This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.
The admission fee for this program is $ 1,449
You can pay monthly installments for Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.
We provide the following options for one-time payment
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 Analyst 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.
Some of the top industries using data analysis include Data Assurance, Retail, Finance, Entertainment, Government and Public sector, Higher Education, Sharing economy services, Sales & Marketing, Agriculture, Business Intelligence, Healthcare, and Data Quality. With the online Data Analyst certification training, you can develop job-ready skills to start in this in-demand career.
There is undoubtedly great demand for data analytics as 96% of organizations seek to hire Data Analysts. The most significant data analyst companies that employ graduates who wish to have a data analyst career are Manthan, SAP, Oracle, Accenture Analytics, Alteryx, Qlik, Mu Sigma Analytics, Fractal Analytics, and Tiger Analytics. Professional Data Analyst training will make you become a magician of any organization, and you will spin insights by playing with big data.
Many analyst roles are pretty nuanced, and therefore, it is hard to determine which skills are needed significantly. Data Analyst course is an increasingly worthwhile investment and helps you secure the right skills with better pay. Some of the top skills required for data analysts are:
Career openings are available practically from all industries, from telecommunications to retail, banking, healthcare, and even fitness. Without extensive training and effort, it isn't easy to get data analyst career benefits. So, earning our Data Analyst certification will allow you to keep up-to-date on recent trends in the industry.