Big Data Analysis Courses Online in Malaysia
✓ Data cleaning and preparation.
✓ Data analysis and exploration.
✓ Creating dashboards and reports.
✓ Writing and communication.
✓ SQL
✓ Identifying problems and solving problems
✓ Building models to perform prediction
✓ Creating data visualizations with power bi , tablaue, microsoft excel and python libraries
Certified Data Analytics Associate with Python (hybrid)
Course Price
RM 3,500
RM 2,000
(Duration: 10 days/40 hours)
Overview
Gain the career-building Python skills you need to succeed as a data analyst. No coding experience required. In this course, you’ll learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Through interactive exercises, you’ll get hands-on with some of the most popular Python libraries, including pandas, NumPy, Seaborn, and many more. You’ll also gain experience working with real-world datasets, including data from banking industry and , to grow your data manipulation and exploratory data analysis skills. Start this course, grow your Python skills, and begin your journey to becoming a confident data analyst. This is one of the Big Data Analytics Course someone could get with more in-depth of each and every topic covered in Data Analysis Courses.
Highlights
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40 hours of live instructor led training
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10 hours of python fundamentals self paced learning tutorial video
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4 hours of self paced learning on statistical essentials
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4 hours SQL fundamentals self paced learning tutorial video
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3 projects: a. Credit card fraud detection b. Customer Churn Prediction c. Model Development
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Comprehensive Blended Learning program
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Flexible access to online classes
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Instructions carried out through industry experienced trainers
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Quizzes and assignments
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15+ in-demand technologies and skills
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Preparation to sit for Certified Data Analytics Associste with Python by Python Institute
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This course is a 40 Hours curriculum intended for those who have a basic knowledge of python programming. In this course, we will learn the basics of conducting data science, how to perform data analysis in python and then create some beautiful visualizations using Python. This data science course also summarizes many concepts, techniques, and algorithms in machine learning, beginning with topics such as linear regression and ending up with three projects.
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How to wrangle data, or Data wrangling
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Learning to explore data or Data exploration
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Visualising data
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Learning how to scrap data from various sources or datasets
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Fundamentals of Python programming
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Data Science libraries
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Software Professionals
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IT Professionals
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Analytics professionals
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Data Scientist
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Data Analyst
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Fresh Graduates
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Anyone with a genuine interest in Data Science
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Our aim is to provide everyone vital hands-on experience so that you are well-prepared for job interviews alongside an exhibition at their positions
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Learn from pioneers in Data Science, both in research and industry.
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Learn the tricks of the trade from seasoned Python Developer practitioner.
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Work on hands-on projects that develop your ability to solve real-world problems.
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Practice your skills on our hands-on projects that simulate real-world problems
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How to wrangle data
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Learning to explore data
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Visualizing data
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Learning how data is scrapped from various datasets or sources
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Fundamentals of Python programming
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Data Manipulation
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Data Mining
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Data Scrapping
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Data Cleaning
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Data Visualization
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Probability
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Bayesian Inference
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Regression Modelling
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10 hours of python fundamentals self paced learning tutorial video
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4 hours of self paced learning on statistical essentials
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4 hours SQL fundamentals self paced learning tutorial video
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Comprehensive Blended Learning program
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flexible access to online classes
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instructions carried out through industry experienced trainers
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Interactive Quizzes
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15+ in-demand technologies and skills
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Get hands-on experience with four industry-related projects
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24x7 learner assistance and support
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The inquiry process comprises three simple steps.
STEP 1 Submit Inquiry- Tell us a bit about yourself and the questions you want to enquire
STEP 2 Reviewing–Your questions will be processed and answered within a day or two
STEP 3 Response–Answers will typically be sent through email. However, you may tell us the option you prefer us to contact you in
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Physical Classroom Training (Malaysia)
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On-site Company Training (Malaysia)
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Online Training via Microsoft Team (Malaysia and International)
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Training Fee : RM2000 (upon 60% discount)
Duration: 10 days/40 hours
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Module 1 – Introduction To Data Science And Data Science Libraries
Data science is the field of applying advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses. Through this module, you will learn the basics, how to analyze data, and then create some beautiful visualizations using Python.
Numpy
It’s a general-purpose array-processing package that provides high-performance multidimensional objects called arrays and tools for working with them. NumPy also addresses the slowness problem partly by providing these multidimensional arrays as well as providing functions and operators that operate efficiently on these arrays.
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NumPy Getting Started
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NumPy Creating Arrays
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NumPy Array Indexing
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NumPy Array Slicing
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NumPy Data Types
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NumPy Copy vs View
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NumPy Array Shape
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NumPy Array Reshape
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NumPy Array Iterating
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NumPy Array Join
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NumPy Array Split
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NumPy Array Search
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NumPy Array Sort
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NumPy Array Filter
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NumPy Random
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NumPy Inbuilt Methods
Module 2 – Pandas
Pandas is an important library in Python for Data Science. It is used for data manipulation and analysis. It is well suited for different data such as tabular, ordered and unordered time series, matrix data, etc.
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Pandas Getting Started
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Pandas Series
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Pandas DataFrames
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Pandas Read CSV
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Pandas Read JSON
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Pandas Read Excel
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Pandas Ana