Advance Python Online Training
Learn Advance Python Training and Certification course from Certified Experts.
40 – 80 Hours Duration
100 Assignments
Instructor Led online Training
50 LMS Access
24X7 Support
100% Skill Level
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Overview
- Learn commands, functions and basic data analysis in R programming language.
- Use data visualisation tools, such as the ggplot2 package for graphics, to communicate with data teams, management, clients, partners and the general public.
- Learn to predict prices, sales, units sold based on product features, and marketing activities using input and output variables and algorithms.
- Predict positive customer response to an email campaign (conversion) or churn (attrition) using classification tools.
- Master clustering applications for market segmentation, recommender systems or stock grouping for investment portfolio management.
What you will gain?
- 1 to 1 Live Online Training
- Dedicated 24 x 7 Support
- Flexible Class Timing
- Training Completion Certification
- Direct Access to the Trainer
- Lifetime Access of an LMS
- Real-time Projects
- Dedicated Placement Support
Pricing
Beginner Plan
Top Hiring Plan
Advance Plan
For Discounts Call @ +91-72778 77778
Syllabus
- Introduction to Data Science, Setting Up the Systems
- Introduction to Python, Variables and Data Types
- Operators, Conditional Statements, Looping Constructs
- Data Structures, String Manipulation, Functions
- Modules, Packages and Standard Libraries, Handling Text Files in Python
- Introduction to Python Libraries for Data Science, Python Libraries for Data Science
- Reading Data Files in Python, Preprocessing, Subsetting and Modifying Pandas DataFrames
- Sorting and Aggregating Data in Pandas, Visualizing Patterns and Trends in Data
- Machine Learning Lifecycle, Problem statement and Hypothesis Generation
- Importance of Stats and EDA, Understanding Data, Basics of Probability
- Exploring Continuous Variable, Exploring Categorical Variables
- Missing Values and Outliers, Central Limit Theorem, Exploring Continuous – Continuous Variables
- Continuos Categorical, Categorical Categorical Variables, Multivariate Analysis, Assignments
Benefits of Online Training
- 100% Satisfaction Ratio
- Dedicated Help In Global Examination
- Updated Syllabus & On-Demand Doubt Session
- Special Group & Corporate Discounts
FAQ’s
- Thorough knowledge of Python, as 44% of the professionals use it the most
- Knowledge of Tableau, as 51%, of the data scientists use it
- RStudio as an IDE
- And in-depth knowledge of Hadoop
The term data science is being used rather loosely — from analysts to data visualisers — all are being termed as data scientists. If one goes by this erroneous definition, then yes, it will appear that there are far too many data scientists these days. But if we take into consideration the actual data — that there are as many as 97,000 job openings in the field of analytics and data science in India alone — then we can see that this sector is not saturated, but thriving.
Build a portfolio of projects and MOOCs
Network with peers and stay up-to-date with who’s who, follow trends
Learn about the position that you are applying for
Go through questions asked in previous interviews
Build a portfolio of projects and MOOCs
Network with peers and stay up-to-date with who’s who, follow trends
Learn about the position that you are applying for
Go through questions asked in previous interviews
Recently Trained Students
Jessica Biel
– Infosys
My instructor had sound Knowledge and used to puts a lot of effort that made the course as simple and easy as possible. I was aiming for with the help of the SAP FICO training imparted to me by this organization.
Richard Harris
– ITC
I got my training from Gaurav sir in the financial accounting module of SAP & I would like to say that say he is one of the best trainers. He has not even trained me but also motivated me to explore more and the way he executed the project, in the end, was mind-blowing.
Job Opportunities
Data science experts are needed in virtually every job sector—not just in technology. In fact, the five biggest tech companies—Google, Amazon, Apple, Microsoft, and Facebook—only employ one half of one percent of U.S. employees. However—in order to break into these high-paying, in-demand roles—an advanced education is generally required.
“Data scientists are highly educated–88 percent have at least a master’s degree and 46 percent have PhDs–and while there are notable exceptions, a very strong educational background is usually required to develop the depth of knowledge necessary to be a data scientist,” reports KDnuggets, a leading site on Big Data.
Placement Partner
