What's the course about
In this competitive era, students and youngsters are concerned about their careers more than ever. Data Science is one such course that can give them a bright future.
Python is one of the most powerful and flexible programming languages that is easy-to-learn. Organizations widely use Python due to its powerful libraries for data mining and analysis. Organizations such as Google, Citi, Toyota, BuzzFeed, and many others are using Python extensively.
After enrolling in our Data Science using Python course, a student will:
At present, the demand of a data scientist who is proficient using Python is huge. After getting our certificate, you can easily get a lucrative job in a big company because the competition here is much lower due to less availability of the candidates.
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Technology Partners
WHY LIVEWIRE?
GCC
Global Competency Certification (GCC) which will add value in Resume
CERTIFIED FACULTIES
All our trainer are Certified in their Products. B2E certified Industry experienced faculty. They ensure students are benefited with in depth practical training.
PLACEMENT OPPORTUNITY
LIVEWIRE is in association with 250+ corporates, who grab candidates from our centres when they match their job requirement. We offer all these opening to the students. They will be able to directly apply for the openings through our Student Portal.
Corporate Style Training
Individual Focus
Quality Training From Experts
Learn the Required Skill
WHAT WILL I LEARN?
- Introduction to Data Science.
- Overview on Python programming.
- Exploratory Data Analysis (EDA).
- Data Visualization.
- Data Distribution & Correlation.
- Regression Analysis.
- Clustering – Hierarchical & K-means.
- Classification – KNN, Naïve Bayes.
- Decision Tree, Random Forest.
- Text Mining, WordCloud.
- Dimension Reduction, Association Rules.
- Forecasting / Time Series.
Experienced Faculty
Popular Courses
Guaranteed Career
JOB OPPORTUNITIES!
- Data Scientist.
- Data Architect.
- Business Analyst.
- Data and Analytics Manager.
- Statistician.
- Database Administrator.
- Machine learning Engineer.
- Data Engineer.
- Machine learning Scientist.
- Analytics Manager.
- Senior Data Analyst.