Data Science Online Training

The Data Science Online Training at Course Dx will provide you the best knowledge on Data Science basics, data analysis, basic statistics, etc. with live experts. Learning Data Science Online Course makes you a master in this subject that includes statistical methods, data analysis, ML algorithms, & models, applications, languages & tools, etc. Our best Data Science Course Online module will provide you a way to become certified in Data Science. So, join hands with Course Dx for accepting new challenges and make the best solutions through the best Online Data Science Courses. The Data Science Course basics and other features will make you an expert in the data analysis, tools, Data Science framework, etc. to deal with real-time tasks.

Choose The Training That's Best For You


  • High-quality content created by industry experts
  • Lifetime access to high-quality self-paced learning and live online class recordings
  • Flexible, affordable options
  • Get complete certification guidance
  • 24×7 assistance and support
  • Attend a Data Science Online Course free demo before signing up


  • Self-Paced / Live Online training options
  • Flexible, affordable options
  • Learn as per full day schedule and/or flexible timings
  • Customize your own course content based on your project requirements
  • Get complete certification guidance
  • 24×7 assistance and support

Data Science Online Training Upcoming Batches


20,SEP 2020
Time: 7:00PM IST


20,SEP 2020
Time: 7:00PM IST


20,SEP 2020
Time: 7:00PM IST

Don’t find suitable time ?

₹ 34500


  • 60 hours high-quality video
  • 2 projects
  • 20 downloadable resource
  • Lifetime access and 24×7 support
  • Access on your computer or mobile

Introduction to Data Science
  • What is Data Science?
  • Why Python for data science?
  • Relevance in industry and need of the hour
  • How leading companies are harnessing the power of Data Science with Python?
  • Different phases of a typical Analytics/Data Science projects and role of python
  • Anaconda vs. Python
Python Essentials (Core)
  • Python Datatypes Data Types & Data objects/structures (strings, Tuples, Lists, Dictionaries)
  • Functions
  • Exceptions
  • Decarators
  • Classes and Inheritance
  • Multithreading
  • Python with Databases (Postgres SQL, MySQL)
Accessing / Importing and Exporting Data using Python Modules
  • Importing Data from various sources (Csv, txt, excel, access etc.)
  • Database Input (Connecting to database)
  • Viewing Data objects - sub setting, methods
  • Exporting Data to various formats
  • Important python modules: Pandas, beautifulsoup
Data Analysis and Visualization using Python
  • Introduction exploratory data analysis
  • Descriptive statistics, Frequency Tables and summarization
  • Univariate Analysis (Distribution of data & Graphical Analysis)
  • Bivariate Analysis(Cross Tabs, Distributions & Relationships, Graphical Analysis)
  • Creating Graphs- Bar/pie/line chart/histogram/ boxplot/ scatter/ density etc.)
  • Important Packages for Exploratory Analysis(NumPy Arrays, Matplotlib, seaborn, Pandas and scipy.stats etc.)


Numpy - Numerical library

  • a) ND array
  • b) Subset, slicing
  • c) Indexing
  • d) List vs ND array
  • e) Manipulating arrays
  • f) Mathematical operations and apply functions
  • g) Linear algebra operations

Scipy – Scientific Lirary

Pandas - Data Analysis library

  • a) Data loading
  • b) Series and Data frame
  • c) Selecting rows and columns
  • d) Position and label-based indexing
  • e) Slicing and dicing
  • f) Merging and concatenating
  • g) Grouping and summarizing
  • h) Data Processing, cleaning
  • i) Missing Values
  • j) Outliers

Matplotlib – Basic 2D Data Visualization library

  • a) Introduction to Matplotlib Basic plotting Figures and sub plotting Box plot, Histograms, Scatter plots, image loading
  • b) Introduction to Seaborn Histogram, rugged plot, hex plot and density plot Joint plot, pair plot, count plot, Heat maps
  • c) Plotting categorical data and aggregation

Seaborn – Advanced Data Visualization library

Stat – Stastics library

Statistics & MathMatics

Types of data

  • Levels of measurement 
  • Categorical variables. Visualization techniques for categorical variables 
  • Numerical variables. Using a frequency distribution table 
  • Histogram charts 
  • Cross tables and scatter plots 

Measures of central tendency

  • The main measures of central tendency: mean, median and mode 
  • Measuring skewness 
  • Measuring how data is spread out: calculating variance 
  • Standard deviation and coefficient of variation 
  • Calculating and understanding covariance 
  • The correlation coefficient 
  • Basic Statistics - Measures of Central Tendencies and Variance
  • Building blocks - Probability Distributions - Normal distribution - Central Limit Theorem
  • Inferential Statistics -Sampling - Concept of Hypothesis Testing
  • Statistical Methods - Z/t-tests (One sample, independent, paired), Anova, Correlation and Chi-square
  • Important modules for statistical methods: Numpy, Scipy, Pandas
Yes, you can schedule your Data Science Online Training in all Time Zones and we also offer training sessions with the US, UK, Australia, & Europe based trainers on Weekends and Weekdays.
Our expert trainer will provide the server access to the Data Science Course aspirants. Moreover, you will get practical training on Data Science with live sessions that cover all your training needs about the course along with the Project.
Even if you have missed a class for the Data Science, then you can watch it as a recorded video within your LMS or attend the same in another live batch.
Our Data Science Course trainer is a certified consultant and at present, he is working on a project within this technology and he is experienced too.
Yes, we will help you in getting certified in the Data Science Course and we promise you that after completing our online training program, you will get a certificate in the technology for sure.
Our expert Data Science Course trainer will explain to you the subject and project work in detail on the software itself with live training. Each training batch of candidates is a software team within our Data Science online training program and project work is offered to them. After the completion of the project work in the Data Science field, the training will be complete for the students. So, the trainees can feel the real-time IT company environment during our Data Science training program, where our trainer is a Team Leader.

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Lectures: 5