This Data Analyst course, in collaboration with IBM, will transform you into a data analytics expert. In this Data Analytics 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.
What can I expect from Simplilearn's Data Analytics course?
Upon completion of this 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 Analytics Certification program:
Masterclasses by IBM experts
Ask Me Anything sessions with IBM leadership
Exclusive Hackathons conducted by IBM
Industry-recognized Data Analyst Master’s certificate from Simplilearn
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 certification training will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extraction, and forecasting. Through this data analytics course online certification, you will also gain expertise in data visualization techniques using Tableau and Power BI, learn how to organize data and design dashboards.
This Data Analytics certification online is designed to also 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 Analytics Course and be on their way to becoming a Data Analyst.
This Data Analyst certification 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 Data Analyst certification 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 of the Data Analytics Certification program. 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 2020 estimates that, by 2025, 85 million jobs may be displaced by a shift in the division of labor between humans and machines. 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 an IBM report, data and analytics jobs are predicted to increase by 15 percent to 2.72 million jobs by 2020, with the most significant demand for Data Analysts in finance, insurance, and information technology. Data Analysts earn an average pay of $67,377 in 2019 according to Glassdoor.
The learning path in this Data Analyst course is specifically designed to give you the skills you need to be successful in Data Analytics and help you obtain a competitive edge. By the end of this Data Analyst certification training, you will:
Understand essential statistical concepts including measures of central tendency, dispersion, correlation, and regression
Master SQL concepts such as Universal Query Tool and SQL command
Write your first Python program by implementing concepts of variables, strings, functions, loops, and conditions
Understand the nuances of lists, sets, dictionaries, conditions and branching, objects and classes in Python
Work with data in Python, including reading and writing files, loading, working, and saving data with Pandas
Learn how to interpret data in Python using multi-dimensional arrays in NumPy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and execute machine learning using Scikit-Learn
Perform data analytics using popular Python libraries
Gain insights into several data visualization libraries in Python; including Matplotlib, Seaborn, and Folium
Gain an in-depth understanding of the basics of R, and learn how to write your own R scripts
Master R programming and understand how various statements are executed in R
Understand and use linear and non-linear regression models and classification techniques for data analysis
Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering
Gain a foundational understanding of business analytics using Excel
Get introduced to the latest Microsoft analytics and visualization tools (Power BI)
Grasp the concepts of Tableau Desktop 10, and become proficient in Tableau statistics and building interactive dashboards
Become an expert on visualization techniques such as heat map, treemap, waterfall, Pareto, Gantt chart, and market basket analysis
This Data Analyst 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 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 higher priority in recommendations sections. Make a model to 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 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, share your findings to all stakeholders through intuitive dashboards.
PREDICTING LOAN DEFAULTERS
Domain: Banking
Financial institutions incur significant losses due to the 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.
Aspiring professionals from all educational backgrounds and with an analytical frame of mind are best suited to pursue the Data Analyst course. This includes:
IT professionals
Banking and finance professionals
Marketing managers
Sales professionals
Supply chain network managers
Beginners in the data analytics domain
Students in UG/ PG programs
Simplilearn’s Data Analytics for beginners course will give you insights into how to apply data and analytics principles in your business. Learning analytics, data visualization, and data science methodologies through this course will make you capable of driving better business decisions and ROI.
Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics course, which includes training on Power BI. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career.
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. This Data Analytics course 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.
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 Analytics certification 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 Analyst course is 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 certification on LinkedIn, Twitter, Facebook, boost your resume or frame it - tell your friends and colleagues about it.
Data Analyst 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 this Data Analytics Certification Course.
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 data analyst 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.
The curriculum of Simplilearn's Data Analyst course covers concepts, tools, and methodologies for guiding the growth and transformation of an organization – much beyond fundamental data analysis and statistics. Consider our data analyst certification to get essential data analytics expertise and quickly get your entry-level data analyst job.
Many analyst roles are pretty nuanced, and therefore, it is hard to determine which skills are needed significantly. Data Analyst certification is an increasingly worthwhile investment and helps you secure the right skills with better pay. However, some of the top skills for data analysts are: