Data Analytics training Karu

Science and Analysis

Data Analytics training Karu

Course Description:

This 12-week course provides a comprehensive introduction to the field of data analytics, covering both theoretical and practical aspects of data analysis. Students will learn the fundamentals of data analytics, including data types, sources, and collection methods, and develop practical skills in data preprocessing, cleaning, and visualization using tools like Excel, Python, and data visualization libraries.

Through a combination of lectures, assignments, and projects, students will apply statistical analysis techniques, including probability, hypothesis testing, and regression analysis, to extract insights from data. Students will also design and build a data analytics project that integrates various techniques and tools learned throughout the course, and present their findings effectively to stakeholders.

By the end of this course, students will have a comprehensive understanding of data analytics and its applications, as well as hands-on experience with various data analytics tools and techniques. This course is ideal for anyone looking to start a career in data analytics or enhance their skills in this field.

Course Outline:

Week 1-2: Introduction to Data Analytics

- Overview of data analytics and its importance

- Data types, sources, and collection methods

- Introduction to Excel and Python for data analytics

Week 3-4: Data Preprocessing and Cleaning

- Data preprocessing techniques

- Handling missing data

- Data transformation and normalization

Week 5-6: Exploratory Data Analysis (EDA)

- Introduction to EDA

- Data visualization tools (Matplotlib, Seaborn)

- Descriptive statistics and data summarization

Week 7-8: Statistical Analysis

- Probability theory basics

- Hypothesis testing

- Correlation and regression analysis

Week 9-11: Data Analytics with Python

- Using Pandas for data manipulation

- Advanced data analysis techniques

- Time series analysis

Week 12: Data Analytics in Practice

- Building a data analytics project

- Project presentations and review

NOW YOU HAVE A CHANCE TO CHANGE YOUR LIFE

4.0 (4000 ratings)

Created By

Peter Esiet

Last updated: 2024-08-14 13:27:10

What you get in this course

Understand the fundamentals of data analytics, including data types, sources, and collection methods, and apply this knowledge to real-world problems.

Develop practical skills in data preprocessing, cleaning, and visualization using tools like Excel, Python, and data visualization libraries.

Apply statistical analysis techniques, including probability, hypothesis testing, and regression analysis, to extract insights from data.

Design and build a data analytics project that integrates various techniques and tools learned throughout the course, and present findings effectively to stakeholders.

Course Contents

Week 1: Introduction to Data Analytics

Week 2: Introduction to Data Analytics (Continued)

Week 3: Data Preprocessing and Cleaning

Week 4: Data Preprocessing and Cleaning (Continued)

Week 5: Exploratory Data Analysis (EDA)

Week 6: Exploratory Data Analysis (EDA) (Continued)

Week 7: Statistical Analysis

Week 8: Statistical Analysis (Continued)

Week 9: Data Analytics with Python

Week 10: Data Analytics with Python (Continued)

Week 11: Data Analytics with Python (Continued)

Week 12: Data Analytics in Practice (Continued)

Course Requirements

Laptop

Passion to learn

NGN150,000.00

30-day money back guarantee

Course Contains:

24-hours on-demand

12 Sections/Modules

Full life time access

Certificate of completion

Created for empowerment of the new generation

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Office Address

Karu Abuja: No 1, Carpenter Plaza, Court road, Karu, Ado 900110, Federal Capital Territory.
And Bwari Abuja: 53 Law School Road Bwari