Data Analytics: Data Analyst (with Data Analyst, Python, Microsoft Excel, Power BI & ML)

A Data Analyst in the field of Data Analytics is a professional who gathers, interprets, and analyzes large sets of data to extract valuable insights and aid in decision-making processes. Data Analytics is a process that involves the examination, cleansing, transformation, and modeling of data to discover meaningful patterns, trends, and correlations.

Why Data Analytics is Important for a Career:

• Informed Decision Making: In today's data-driven world, organizations heavily rely on Data Analyst to make informed decisions. Data Analysts play a crucial role in providing actionable insights that can lead to improved performance and strategic planning.
• High Demand for Data Professionals: The demand for skilled data professionals, including Data Analysts, is continuously increasing across various industries.
• Career Growth Opportunities: Data Analytics offers numerous career growth opportunities. Starting as a Data Analyst, one can progress to roles like Data Scientist, Business Analyst, Data Engineer, or even higher-level managerial positions.
• Problem-Solving Skills: Data Analysts develop strong problem-solving skills as they work on complex data-related challenges.
• Salary Potential: Data Analysts often receive competitive salaries due to the specialized nature of their work and the high demand for their skills.
• Versatility Across Industries: Data Analytics skills are applicable in a wide range of industries, including finance, marketing, healthcare, e-commerce, government, and more.
• Impactful Contributions: Data Analysts contribute to the success of organizations by helping them make data-driven decisions, which can lead to increased efficiency, cost savings, and overall growth.

Master data-driven decision-making and elevate your career prospects in the fast-paced world of data analytics.

Learning Outcomes of Data Analytics for Data Analyst with Data analysis, Python, Microsoft Excel, Power BI & Machine Learning Bundle Courses:

1. Understand the role of a data analyst and the fundamentals of data analytics.
2. Develop proficiency in data manipulation, exploratory analysis, and data visualization techniques to extract insights from complex datasets.
3. Master Python programming for data analysis, automation, and machine learning, empowering you to efficiently handle data tasks.
4. Learn advanced Excel functions and techniques to organize, analyze, and visualize data effectively for data-driven decision-making.
5. Gain expertise in creating interactive data visualizations and dashboards to present complex information in a compelling and accessible manner.
6. Acquire essential machine learning skills to build predictive models and unlock powerful patterns and trends from data.

Key Features of Data Analyst : Data Analytics Training

• 5 FREE PDF Certificate Included
• Lifetime access to the Data Analytics for Data Analyst with Data analysis, Python, Microsoft Excel, Power BI & Machine Learning Bundle Course resources for life
• Easy to understand course materials
• 24/7 assistance and guidance
• Device Compatible

• Data Analyst : Data Analytics 37:00

  • 1: Module 1- Data Analysis Fundamentals.docx 07:00
  • 2: Module 2- Probability Distributions.docx 08:00
  • 3: Module 3- Risk _ Utility Analysis.docx 07:00
  • 4: Module 4- Data Exploration and Visualization.docx 07:00
  • 5: Module 5- Spreadsheet modelling.docx 08:00

• Data analysis using tableau 1:03:00

  • 6: Module 01 Analytics of Data 06:00
  • 7: Module 02_ Why Tableau is a Good Data Analytics Tool 07:00
  • 8: Module 03_ Introduction to Tableau 08:00
  • 9: Module 04_ Data Source for Tableau (TDS) 07:00
  • 10: Module 05_ Worksheets for Tableau 07:00
  • 11: Module 06_Calculations in Tableau 08:00
  • 12: Module 07_Sort _ Filters Tableau 06:00
  • 13: Module 08_ Tabular Diagrams 08:00
  • 14: Module 09_Figure Advanced 06:00

• Introduction to python 42:00

  • 15: Lecture_1 Overview of Python 06:00
  • 16: Lecture_2 What is Variables in python 07:00
  • 17: Lecture_3 How to use Conditional Expressions 08:00
  • 18: Lecture_4 Use of Loops 07:00
  • 19: Lecture_5 Basics of Functions 06:00
  • 20: Lecture_6 Define Objects in collections 08:00

• Microsoft Excel 1:13:00

  • 21: Lecture_1 How to Access Excel 07:00
  • 22: Lecture_2 Basic Activities in Excel 14:00
  • 23: Lecture_3 How to Properly Use A Worksheet 18:00
  • 24: Lecture_4 Get Started with Excel tables and data 19:00
  • 25: Lecture_5 How to run Basic Calculations 07:00
  • 26: Lecture_6 Master shortcuts of Excel 08:00

• Power BI 1:12:00

  • 27: Lecture_01_ Power BI Overview 08:00
  • 28: Lecture_02_ Discover and load file-based data with PowerBI Desktop 08:00
  • 29: Lecture_03_ Data Warehouse and Database Data Loading 08:00
  • 30: Lecture_04_ How to use DirectQuery and Connect Live 08:00
  • 31: Lecture_05_ How to Loadge Data from the Cloud and the Web 09:00
  • 32: Lecture_06_ How to Handle Datasets 08:00
  • 33: Lecture_07_ Data Transformation 08:00
  • 34: Lecture_08_ merged data 08:00
  • 35: Lecture_09_ Master the art of PowerBI 07:00

• Machine Learning 46:00

  • 36: Lecture_1_ Overview of Machine Learning 04:00
  • 37: Lecture_2_ What is Linear Regression 04:00
  • 38: Lecture_3_ Logistic Regression algorithm 04:00
  • 39: Lecture_4_ Basic of Decision Trees algorithm 04:00
  • 40: Lecture_5_ Support Vector Machine 04:00
  • 41: Lecture_6_ How to run KNN 05:00
  • 42: Lecture_7_ Why Naive Bayes Algorithm Gives good accuracy 04:00
  • 43: Lecture_8_ What is meant by Clustering 06:00
  • 44: Lecture_9_ Algorithms of Dimension Reduction 06:00
  • 45: Lecture_10_ How Neural Networks Works 05:00

This six-part course is designed to equip you with the essential skills to dive into data analysis and visualization, featuring:

• Course 01: Data Analyst: Data Analytics
• Course 02: Data Analysis Using Tableau
• Course 03: Introduction to Python
• Course 04: Microsoft Excel
• Course 05: Power BI
• Course 06: Machine Learning

Why Should You Buy This Data Analytics for Data Analyst with Data analysis, Python, Microsoft Excel, Power BI & Machine Learning Course?

Discover the key to unlocking your full potential with the Data Analyst: Data Analytics course! Expertly crafted by industry-leading professionals, this Data Analyst: Data Analytics course is tailored to simplify your learning experience and provide you with the essential skills you need to thrive in today's competitive job market.

Imagine the opportunities that await you as you master the fundamental abilities necessary to excel in your career and create a brighter future for yourself. The Data Analyst: Data Analytics course is not just a learning opportunity; it's an investment in your success.

Certification of Data Analytics for Data Analyst with Data analysis, Python, Microsoft Excel, Power BI & Machine Learning Bundle Course

The free e-certificate will be instantly available to download for every student who completes the Data Analyst : Data Analytics course successfully.

This Data Analyst : Data Analytics course is perfect for aspiring data analysts, professionals looking to transition into a data-driven role, and anyone interested in harnessing the power of data analytics to enhance their decision-making skills.

• Business Analysts
• Data Scientists
• Marketing Analysts
• Financial Analysts
• Operations Analysts

There are no official entry requirements for the Data Analyst : Data Analytics, and it is available to all students. The Data Analyst : Data Analytics training course is provided through Reed's online learning platform. Complete Data Analyst : Data Analytics course at your own pace.

1. Data Analyst
2. Business Analyst
3. Data Visualization Specialist
4. Reporting Analyst
5. Data Consultant
6. Market Research Analyst
7. Operations Analyst
8. Business Intelligence Analyst

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