Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
16 Hour(s) 55 Minute(s)
Language
English
Taught by
Meritshot Academy
Rating
1 views
Course Overview
Unlocking Insights through Data: Mastering Analytics and Visualization for In-Demand Tech Proficiency
Embark on a transformative journey into the dynamic realm of Data Analytics and Visualization, where you will acquire essential and sought-after tech skills. This comprehensive course is designed to empower you with proficiency in key tools and methodologies, including Python programming, Excel, statistical analysis, data analysis, and data visualization.
Key Learning Objectives:
- Gain hands-on experience in Python, a powerful and versatile programming language widely used for data analysis and manipulation.
- Learn to leverage Python libraries such as Pandas and NumPy for efficient data handling and manipulation.
- Develop advanced skills in Excel, exploring its robust features for data organization, analysis, and visualization.
- Harness the power of Excel functions and formulas to extract insights from complex datasets.
- Acquire a solid foundation in statistical concepts and techniques essential for making informed decisions based on data.
- Apply statistical methods to interpret and draw meaningful conclusions from data sets.
- Explore the entire data analysis process, from data cleaning and preprocessing to exploratory data analysis (EDA) and feature engineering.
- Learn how to identify patterns, outliers, and trends within datasets, enabling you to extract valuable insights.
- Master the art of presenting data visually through a variety of visualization tools and techniques.
- Use industry-standard tools like Matplotlib and Seaborn to create compelling and informative data visualizations.
Upon completion, you will possess a well-rounded skill set in data analytics and visualization, equipping you to tackle real-world challenges and contribute meaningfully to data-driven decision-making in any professional setting. Join us on this journey to become a proficient and sought-after tech professional in the field of data analytics and visualization.
Course Content
- 23 section(s)
- 120 lecture(s)
- Section 1 Fundamentals of Excel
- Section 2 Statistical and Mathematical Functions in Excel
- Section 3 Lookup functions, and Pivot Tables
- Section 4 Logical Functions, and Text Functions
- Section 5 Data Cleaning, and Feature engineering
- Section 6 What If analysis
- Section 7 Charts and Dashboards
- Section 8 Linear Regression and Forecasting
- Section 9 Basics of Python
- Section 10 Introduction to Data Structures
- Section 11 Introduction to Functions in Python
- Section 12 Strings and Regular Expressions
- Section 13 Loops and Conditionals
- Section 14 OOPs and Date-Time
- Section 15 Introduction to Statistics
- Section 16 Introduction to Descriptive Statistics
- Section 17 Introduction to Basic and Conditional Probability
- Section 18 Introduction to Inferential Statistics
- Section 19 Introduction to Hypothesis Testing
- Section 20 Data Analysis and Data Viz : Introduction to Numpy and Pandas
- Section 21 Advanced Functions in Pandas
- Section 22 Types of Charts and Visualizations
- Section 23 Advanced Data Visualizations
What You’ll Learn
- Real-world use cases of Python and its versatility., Installation of Python on both Mac and Windows operating systems., Fundamentals of programming with Python, including variables and data types., Working with various operators in Python to perform operations., Fundamental concepts and importance of statistics in various fields., How to use statistics for effective data analysis and decision-making., Introduction to Python for statistical analysis, including data manipulation and visualization.
Skills covered in this course
Reviews
-
RRahul Wali
Best teaching and this course is best match for me because I want to become Data analyst.
-
SSamuel Tosin Akinyemi
IT IS A GOOD MATCH
-
SSankesh Chaudhary
really amazing course
-
VVictor OKOMAYIN
Absolutely worth the time.
