Data science for beginners: Join now for Tableau and Python course with Manorama Horizon

Data
Representative image: iStock/Erikona

Are you ready to embark on an exciting journey into the world of data science? If so, mark your calendars because on April 5, a transformative opportunity awaits you. Manorama Horizon is set to host their latest training programme: "Data Science for Beginners: Tableau and Python Course." Scheduled to commence on April 5, this course promises to be a game-changer for aspiring data scientists.

In an era where data reigns supreme, the demand for skilled professionals in data science is skyrocketing. Recognizing this need, Manorama Horizon aims to equip individuals with the essential skills required to thrive in this field. Whether you're a novice or have some familiarity with data science, this course is tailored to suit your needs.

The course begins with an introduction to Python programming – a versatile and powerful language that serves as the backbone of many data science projects. Participants will be guided through the fundamentals, ensuring that even those with no prior coding experience can navigate the concepts with confidence.

Following the Python module, the course delves into Tableau – a leading data visualization tool that empowers users to create captivating visual representations of their data. Participants will learn how to create visually stunning dashboards and charts, empowering them to make informed decisions based on data analysis.

Moreover, flexibility is at the core of this course. With recorded video classes available for six months post-live sessions, participants can learn at their own pace, ensuring maximum comprehension and retention.

Whether you're a career enthusiast looking to upskill or a data aficionado seeking to expand your knowledge, the Data Science for Beginners course by Manorama Horizon is your gateway to success.

For more information and registration, visit https://www.manoramahorizon.com/course/data-science-for-beginners-tableau-and-python62KPC/ or contact at 9048991111.

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