Key Features
The certificate given upon successful completion of the course will be endorsed by Koed which has industry & Govt. of india recognition.
Koed is a well known brand having Industry expert trainers with decades of working and training experience distinguished status among the companies.
Providing Job support, Interview preparation and Resume Analysis, Alumni portal access, E-learning, and lots more!
Mentors From
About Data Science with Python Course
- Duration/Mode: 32 Hours Live Online Training.
- E-Learning Access: Includes Recorded Videos, Projects, and Case Studies resume & placement support Job Opportunities and
- Internship: Get access to job opportunities to top MNCs.
- Job Opportunities and Internship: Get access to job opportunities to top MNCs.
- Live Projects: Experience Industry oriented Projects during the training.
- Prime Membership: Get a 1-Year Prime Membership of Koed and avail the 360o placement support.
- Trainer: Industry expert trainers with decades of working and training experience.
Benefits of Koed Data Science with Python Course
- 1-Yr Prime Membership of Koed and avail the 360o placement support.
- 100% Job Support exclusively entitled for BI Specialist Professionals.
- 32-Hours Live Virtual Training.
- Access to the Koed LMS.
- Recorded Videos of the Session for recap.
- Resume analysis and Interview Preparation.
Own a certificate in exchange for your merit and hard work, not just money.
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Acquire
In your hand, will rest a Koed certificate once you test your knowledge in the exam and pass with flying colours. Once all modules of the course are done, our trainers will be greatly pleased to share your reward with you.
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Think out of the box, go out of your comfort zone
Everybody has an option to do things the conventional way but only some have the courage to own up and do it in their own way. Once you complete all modules of the course, you will be instilled with all the required skills and knowledge to be able to carve your own way. You will see your productivity shoot up at work, during interviews and more.
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Share and inspire others
No success story is a great story until it motivates other people to work harder. We would encourage you to highlight and show the world the reward you earned for your hardwork and consistency. Share the certificate on social media channels, alumni networking meetings and other platforms. Remember when it's your time to shine, shine brightly.
Data Science with Python Course Curriculum
- 1.1 Data Science, Data Mining, Statistics
- 1.2 Supervised vs Unsupervised Learning
- 2.1 Analytics Definition and Applications
- 2.2 Why Analytics and Roles (Application and Roles in various d
- 2.3 Tools and Techniques in Analytics
- 3.1 Anaconda - Download & Setup
- 3.2 IDEs - Jupyter, Spyder, PyCharm
- 3.3 Git - Setup and Configuration with IDEs
- 3.4 Creating and Managing Analytics/ ML Projects
- 4.1 Understanding NumPy Library
- 4.2 Managing and manipulating data
- 5.1 Understanding SciPy Library
- 5.2 Managing and manipulating data
- 6.1 Group Summaries
- 6.2 Crosstab, Pivot and Reshape data
- 6.3 Managing Missing Values
- 6.4 Outliers Detection
- 6.5 Managing indexes in pandas
- 7.1 Selection of Grap
- 7.2 Libraries (matplotlib, seaborn, plotnine)
- 7.3 Basic Graphs (histogram, barplot, boxplot, pie, etc)
- 7.4 Managing plot parameters(size, title, axis, legend, etc)
- 7.5 Advanced Graphs (correlation, heatmap, mosaic, etc)
- 7.6 Exporting graphs
Know the complete offerings of our Data Science with Python Course
Program Features
Skills covered
Job Roles
