CPD Certified Data Analytics Course

Upskillist

Reed Courses Certificate of Completion

Digital certificate - Included

• Data Analytics Course 3:43:34

  • 1: Starting Your Data Analyst Journey Preview 30:12
  • 2: Exploring Data 26:37
  • 3: Probabaility 31:05
  • 4: Distributing Data 32:51
  • 5: How Confident Are You in the Sample? 26:18
  • 6: Hypothesising About the Outcome 20:42
  • 7: Testing for Differences: Categorical Vars 26:29
  • 8: Testing for Differences: Numerical Vars 29:20

The Upskillist Data Analytics Course is designed to provide learners with the essential skills needed to analyze, interpret, and visualise data in a way that drives informed decision-making. The course covers key data analytics concepts, tools, and techniques, helping participants build a strong foundation in the field of data analysis. It is ideal for individuals who want to develop practical data skills, whether for business, marketing, finance, or personal projects.

Key Features:

1. Introduction to Data Analytics:

• Learn the fundamentals of data analytics, including data collection, organization, and analysis.

• Understand the importance of data-driven decision-making in today’s business environment.

2. Data Analysis Techniques:

• Explore different data analysis techniques, including descriptive, diagnostic, and predictive analysis.

• Learn how to use statistical methods and tools to interpret data trends and patterns.

3. Data Visualisation:

• Master data visualisation techniques using tools like Microsoft Excel, Google Sheets, or specialised software like Tableau.

• Learn how to create clear and impactful charts, graphs, and dashboards to communicate insights effectively.

4. Data Cleaning and Preparation:

• Understand how to clean and prepare raw data for analysis by handling missing values, identifying outliers, and structuring datasets properly.

• Learn best practices for organising data to ensure accuracy and reliability in your analysis.

5. Introduction to SQL and Databases:

• Learn the basics of SQL (Structured Query Language) to retrieve and manipulate data from databases.

• Understand how databases work and how to query large datasets efficiently.

6. Introduction to Excel for Data Analytics:

• Gain proficiency in using Microsoft Excel for data analysis, including advanced formulas, pivot tables, and data visualisation tools.

• Learn how to automate data processes using Excel functions and create reports that drive decision-making.

7. Data Analytics Tools:

• Get introduced to industry-standard tools used in data analytics, including Microsoft Power BI, Google Analytics, and others.

• Learn how to use these tools to extract valuable insights and enhance reporting.

8. Real-World Applications:

• Apply your knowledge to real-world data sets and case studies.

• Understand how data analytics is used in various industries such as marketing, finance, e-commerce, and business operations.

Outcome:

By the end of the course, learners will be able to collect, clean, and analyze data, create compelling data visualizations, and apply data-driven insights to solve problems and make informed decisions. The course provides practical, hands-on experience with tools and techniques used in the data analytics industry, preparing participants for a career in this rapidly growing field.

The Upskillist Data Analytics Course is designed for a broad range of individuals who want to acquire data-driven decision-making skills. It is ideal for anyone looking to develop their ability to analyse, interpret, and visualise data, regardless of their current level of experience. Here’s a breakdown of who the course is for:

1. Beginners in Data Analytics

• Individuals new to data analysis who want to build a strong foundation in data analytics and gain practical skills.

• Those looking to start a career in data analytics and need to learn the essential tools, techniques, and methodologies.

2. Business Professionals

• Managers, analysts, or executives who want to leverage data to make better, more informed business decisions.

• Those seeking to incorporate data analytics into business strategy, operations, and performance analysis.

3. Marketing and Sales Professionals

• Marketing professionals and sales managers who want to better understand consumer behavior, track campaign performance, and optimise marketing strategies using data insights.

• Individuals looking to use tools like Google Analytics and data visualisation to enhance their reporting and improve ROI.

4. Finance and Accounting Professionals

• Finance professionals or accountants who need to analyse financial data, forecast trends, and create data-driven reports for improved decision-making.

• Individuals in financial roles looking to upgrade their analytical skills and utilize data tools like Excel and Power BI for better reporting and insights.

5. Entrepreneurs and Small Business Owners

• Business owners and entrepreneurs who want to use data analytics to optimise operations, improve customer insights, and make data-driven decisions for business growth.

• Those looking to analyse sales, marketing, and financial performance to gain a competitive edge.

6. IT Professionals

• IT and database administrators looking to understand data analytics principles and learn tools like SQL, data visualisation software, and database management for business applications.

• Individuals who want to expand their role by incorporating data analysis into their work.

7. Students and Graduates

• Students or recent graduates interested in building a career in data analytics, data science, or related fields.

• Those looking to gain a competitive edge in the job market by adding practical, data-related skills to their resumes.

8. Freelancers and Consultants

• Freelancers or independent consultants who want to offer data analytics services to clients in various industries.

• Those looking to help businesses make data-driven decisions by providing insights from customer, financial, or operational data.

9. Anyone Interested in Data-Driven Decision Making

• Individuals from any field who want to understand the basics of data analytics and apply it in their personal projects or careers.

• Anyone who wants to learn how to collect, analyse, and visualise data to solve problems and uncover insights.

In summary, the Upskillist Data Analytics Course is suitable for anyone looking to develop or refine their data analytics skills, regardless of their background or current profession. It is particularly useful for those who want to harness the power of data to enhance their decision-making abilities and improve outcomes in business or personal projects.

Access to online learning. No minimum educational or work experience required to participate in this course.

After completing the Upskillist Data Analytics Course, a variety of career paths become available to you, depending on your interests, and how you apply the data skills acquired. Here are some common career options for those who have completed this course:

1. Data Analyst

2. Business Intelligence (BI) Analyst

3. Marketing Analyst

4. Financial Analyst

5. Operations Analyst

6. SQL Analyst

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