Overview of Analytics Course in Charlotte

Analytics has become an essential field in business as it involves the study of data to gain insights and make informed data-driven decisions. With the exponential growth of data, there is a significant demand for professionals with analytics skills in various industries. Charlotte, a bustling city in North Carolina, offers great opportunities for individuals interested in pursuing a career in analytics, with several institutions offering analytics courses in Charlotte. One of the most popular courses in analytics offered in Charlotte is the Data Analytics Boot Camp, offered by UNC Charlotte Boot Camps. The course provides students with a comprehensive understanding of analytics concepts and tools, covering topics such as data visualization, Excel, Python, SQL, Hadoop, and Tableau. The program is designed to help students gain hands-on experience through practicing real-world scenarios and projects, developing the skills necessary to succeed as data professionals. Another course offered in Charlotte is the Master of Science in Analytics, offered by Wake Forest University School of Business. The course is designed for professionals with a background in statistics, math, or computer science and provides them with the tools and knowledge required to be successful in their analytics careers. The program focuses on developing analytical skills while also emphasizing applied learning through industry collaborations and real-world projects. The Data Science and Engineering with Spark course is offered by the University of North Carolina at Charlotte. The course provides students with an in-depth understanding of Spark and its ecosystem, covering topics such as Spark SQL, Streaming, MLlib, and GraphX. The course is designed for professionals who wish to develop in-demand data engineering skills, including data movement, data processing, and data storage. Other institutions that offer analytics courses in Charlotte include Queens University of Charlotte, which offers a Master of Science in Business Analytics, and the Institute for Advanced Analytics at North Carolina State University, which offers a Master of Science in Analytics and a Master of Science in Data Science. These courses are tailored towards individuals who wish to pursue advanced analytics skills and specialize in specific tracks such as business analytics or data science. Charlotte being a vibrant business hub with a diverse range of industries, offers excellent potential for analytics professionals. Analytics professionals can leverage their skills in fields such as marketing, healthcare, finance, and manufacturing, as there is a significant demand for data-driven decision-making in these industries. Furthermore, Charlotte's growing FinTech and Healthcare industry ensures a steady demand for analytics professionals, making Charlotte an attractive destination for individuals seeking analytics opportunities. In conclusion, Charlotte offers a range of analytics courses for individuals interested in pursuing a career in analytics. These courses are tailored to equip students with the skills required to succeed in the field of analytics through hands-on experience, real-world projects, and industry collaborations. By pursuing analytics courses in Charlotte, individuals can develop the skills necessary to succeed as data professionals and capitalize on the opportunities available in various industries.
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Course Duration

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Internship

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Live Training

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Career Assistance

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Skillfloor Course Training Process
Skillfloor Course Training Process

Internship Certificate

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Completing this Analytics Course certifies your proficiency in data analysis, statistical methods, and essential analytics tools. This certification shows you can transform raw data into actionable insights, improving decision-making in various business contexts. It indicates your understanding of data visualization, predictive modelling, and data-driven strategy development, providing you with the skills to excel in analytics. This credential reflects your dedication to continuous learning and commitment to leveraging data for strategic advantage.

Analytics Tools Covered

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Why Choose SKILLFLOOR for Analytics in Charlotte?

Why Course Training in Skillfloor

Syllabus

- Overview of data analysis and its importance in business

- Types of analytics: Descriptive, Predictive, Prescriptive

- Role of data in decision-making processes

- Introduction to common tools: Tableau, PowerBI, Excel

- Ethical considerations in data collection and analysis

- Data sources: Primary and secondary data

- Data collection methods (surveys, web scraping, databases)

- Data cleaning techniques (handling missing values, outliers)

- Data transformation and feature engineering

- Data storage concepts (structured vs. unstructured data)

- Descriptive statistics: Mean, median, mode

- Data visualization basics (histograms, scatter plots)

- Identifying data patterns and trends

- Outlier detection and handling methods

- Correlation and causation analysis

- Inferential statistics and probability theory

- Hypothesis testing (t-tests, chi-square tests, ANOVA)

- Measures of central tendency and variability

- Confidence intervals and margin of error

- Regression analysis: Linear and logistic regression

- Principles of effective data visualization

- Types of charts and their uses (bar, line, pie, heatmaps)

- Designing dashboards for different audiences

- Interactive visualization techniques

- Data storytelling for impactful presentations

- Time series analysis and forecasting methods

- Clustering and segmentation analysis

- Decision trees and classification techniques

- Introduction to machine learning in business analytics

- Model evaluation and selection

- Basics of SQL for data manipulation

- Creating databases and relationships

- Aggregating data with SQL (GROUP BY, JOIN)

- Data modeling for business intelligence (star and snowflake schemas)

- Case study: Building a business model with SQL

- Connecting and preparing data in Tableau

- Creating basic visualizations (charts, maps)

- Advanced Tableau functions (LOD calculations, table calculations)

- Building interactive dashboards and stories

- Publishing and sharing visualizations on Tableau Server/Online

- Introduction to PowerBI workspace and components

- Data import and transformation with Power Query

- Data modeling and relationships in PowerBI

- Creating and customizing visualizations

- Publishing and collaborating on PowerBI Service

- Selecting a real-world dataset for analysis

- Defining business questions and objectives

- Conducting data analysis and visualization

- Presenting findings in a comprehensive dashboard

- Peer review and feedback on project

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